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<?xml-stylesheet type="text/xsl" href="https://community.element14.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Project Videos</title><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/</link><description>Project Videos provided by our video content partners about electronic builds, gaming and more</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72059/modern-edge-ai-on-raspberry-pi-5-for-an-animatronic-tracker-vision-acceleration-with-ai-hat-and-ai-camera?CommentId=d4b4677f-9541-4c07-a09c-04fda96a4e5c</link><pubDate>Sat, 25 Apr 2026 18:28:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:d4b4677f-9541-4c07-a09c-04fda96a4e5c</guid><dc:creator>DAB</dc:creator><description>I agree, more people are willing to let the computer give them a result without worrying about its validity. I see many bad decisions ahead by idiots who do not verify their results.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72059/modern-edge-ai-on-raspberry-pi-5-for-an-animatronic-tracker-vision-acceleration-with-ai-hat-and-ai-camera?CommentId=e439477c-efa7-4fbd-9bde-af58320230ca</link><pubDate>Fri, 24 Apr 2026 21:02:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:e439477c-efa7-4fbd-9bde-af58320230ca</guid><dc:creator>kmikemoo</dc:creator><description>Great upgrade! Yup. It&amp;#39;s still kind of creepy.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72059/modern-edge-ai-on-raspberry-pi-5-for-an-animatronic-tracker-vision-acceleration-with-ai-hat-and-ai-camera?CommentId=ccc635a2-0ad4-4dda-9f0f-c5938950470d</link><pubDate>Fri, 24 Apr 2026 07:28:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:ccc635a2-0ad4-4dda-9f0f-c5938950470d</guid><dc:creator>mayermakes</dc:creator><description>Since &amp;quot;AI&amp;quot; is moving so fast here are some updates since I filmed the video: You can now run ollama on RPI5 within Raspberry pi OS . switching to ubuntu is notneeded anymore.-&amp;gt; it demands huge power and the pi tends to thermal throttle quickly. the Ai hat+ 2 was released a month or so after the video was done and it seems to help with accelerating llms now. but I havent looked into how to deploy or what moelds in which framework it supports. the most practical Ai application on pi still seems to be vision based classification.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72059/modern-edge-ai-on-raspberry-pi-5-for-an-animatronic-tracker-vision-acceleration-with-ai-hat-and-ai-camera?CommentId=5686adf2-651e-4796-b2a8-f97eba5c8508</link><pubDate>Fri, 24 Apr 2026 07:26:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:5686adf2-651e-4796-b2a8-f97eba5c8508</guid><dc:creator>mayermakes</dc:creator><description>the biggest improvements are so far in how fast and how cheap/available the hardware to run these models got. Sure you can do more by runnign bigger models on faster hardware. but the core principle , the topology and maths is still the basic neural network we knew for decades-&amp;gt; just at scale. probability stays probability. What did change is how humans interpret the outcome, even more anthropomorphisation than earlier.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=d01523d3-2acf-46df-9c1c-9576cade2bce</link><pubDate>Thu, 23 Apr 2026 20:56:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:d01523d3-2acf-46df-9c1c-9576cade2bce</guid><dc:creator>colporteur</dc:creator><description>Nothing has value like experience. That is why I like instructor lead courses. The coffee break discussions reveal so much.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72059/modern-edge-ai-on-raspberry-pi-5-for-an-animatronic-tracker-vision-acceleration-with-ai-hat-and-ai-camera?CommentId=8be6332c-8030-40f0-bc8f-730afc82b070</link><pubDate>Thu, 23 Apr 2026 19:49:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:8be6332c-8030-40f0-bc8f-730afc82b070</guid><dc:creator>DAB</dc:creator><description>Nice project Clem. You have confirmed my observations. After watching AI for over 45 years, the only thing that has changed is the speed from input to results. The results are still speculative and questionable.</description></item><item><title>Wiki Page: Project Video Release Archive</title><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/3748/project-video-release-archive</link><pubDate>Thu, 23 Apr 2026 14:06:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:59ab0abe-b32d-47f9-b00c-4b73b01f3bd8</guid><dc:creator>e14sbhargav</dc:creator><description>Project Video Releases element14 presents | Meet the Hosts Episode 711: Modern Edge AI on Raspberry Pi 5 for an Animatronic Tracker: Vision Acceleration with AI Hat+ and AI Camera Episode 710: Your First Real PCB in KiCad : An Arduino Compatible Board Designed from Scratch Episode 709: Was that my Number!? Fixing Caf&amp;#233; Order Chaos with a Raspberry Pi Announcer Episode 708: Reviving a Vintage LED Sign with Arduino and PS/2 Control Episode 707: Building a Circuit Sculpture with LED Filament Episode 706:&amp;#160;ESP32 + RFID = Smart Access Control in a Simple DIY Build Episode 705: Building a Super Smooth Z-Scale Train Controller with Arduino Episode 704: Hacking an IKEA Desk into a Programmable Electric Workstation Episode 703: How to Set Up the Raspberry Pi 5: Complete Beginner Step-by-Step Guide Episode 702: Build Your Own USB Looper for Serial Debugging and File Transfer Episode 701: From Snooze to Launch: The Arduino-Powered LEGO Alarm Clock Inspired by Artemis 2 Episode 700: How Voice Recognition Works on Raspberry Pi (and Why It’s Easy to Break) Episode 699: GimmeGPIO: A Simple Way to Get GPIO on Laptops and Desktops Episode 698: Building a Practical Electronics Workbench for Makers and Engineers Episode 697: A Smart, Safe 3D Printer Cabinet Using Raspberry Pi and Node-RED Episode 696: How a Pulse Metal Detector Works, and How to Build One Episode 695: A DIY Test and Programming Rig Built for Small-Batch Electronics Production Episode 694: Earn Your Fitness Reward with a Smart Cookie Jar Using Strava and ESP32 Episode 693: Open-Source Multicolour 3D Printing Upgrade: Clem’s 3D Chameleon Remix Episode 692: Build Your own ESP32 Fitness Heart Rate Monitor / Tracker Episode 691: How Accurate Is Bluetooth Channel Sounding? A Deep Dive with the nRF54L15 Episode 690: Meet the PlatypusBot: Now Powered by Raspberry Pi &amp;amp; ROS Episode 689: How Clem Built a Handheld Sci-Fi Communicator That Really Works Episode 688: Building the Cylon Pumpkin: Combining a Larson Scanner and Vocoder for Halloween Episode 687: Turning a $10 Air Fryer into an Arduino powered Filament Dryer Episode 686: Creepy Motion-Activated Painting You Can Build Yourself Episode 685: When Your Body Becomes the Instrument: Clem Builds the “Dr&amp;#246;ne” Synth Episode 684: Building an Audio Reactive LED Matrix with a micro:bit and NeoPixels Episode 683: How to Make a Portable Emergency Radio with an Arduino Nano in a Mint TinT Episode 682: DIY RF Modulator + Raspberry Pi Pico = Gaming on a Sony Watchman FD-10A CRT Episode 681: Turn anything into an Arduino Module: Reusing Everyday Electronics Episode 680: From Kit to Custom Design: Building a Tube-Based FM Radio Episode 679: ESP32 Duolingo Owl Project: Never Miss a Lesson Again Episode 678: Open Source ATtiny3226 Arduino Calculator – Hardware, Case &amp;amp; Code Build Episode 677: Make Your Own Vocoder with Teensy 4.0 - Voice of a Cylon?! Episode 676: I Tried Building 16 ATtiny Robots with Vibration Motors – It Was a Disaster Episode 675:Avoid Conflict with this ESP32 Defcon Task Tracker Episode 674: Building an Open Source Blood Pressure &amp;amp; Heart Signal Monitor Episode 673: Building an ESP32 Powered Warhammer 40k Rhino with Dynamic LED Effects! Episode 672: Building an Autonomous LEGO Train with CircuitPython and LIDAR Episode 671: PlatypusBot - Scavenging for Robotics Parts Episode 670: Build your own Larson Scanner Episode 669: Creating an ESD (Or Lightning!) Detector! Episode 668: Designing an Arduino PID Controlled Micro Drone Episode 667: Emulating a Speech Synthesis Chip with an ESP32 Episode 666: How Far Can I2C Go? Episode 665: Raspberry Pi AI Tracking Eye of Sauron - AI AL Barad Dur Episode 664: Learn how to Make a Photo Booth with the ESP32 and Telegram Automation! Episode 663: Upcycling a Vintage Microphone into an Emergency Radio System Episode 662: Making a Stronger Affordable DIY Robot Arm with 3D Printing with Raspberry Pi Pico Episode 661: Clem makes his own LED Wristwatch Episode 660: LoFi Beats to Solder To Episode 659: DIY Single Board Computer with ESP32 and Raspberry Pi Pico Episode 658: A Smart Youtube Counter With An Audio Analyzer Episode 657: How to Control a LEGO Mindstorms kit with AI and Raspberry Pi 5 Episode 656: DIY Jig for your Laser Cutter with Custom Arduino Automation Episode 655: DIY Hot Plate for SMD Soldering Using Raspberry Pi Pico Episode 654: How Do BattleBots Work? In the Pit with HyperShock Episode 653: Edge-lit 7-Segment Display Clock Using Raspberry Pi Pico Episode 652: Smart Windows and Blinds with Arduino and Raspberry Pi Pico Episode 651: Design for Manufacturing - Project to Product by Modifying Off-the-Shelf Cases Episode 650: Using Nordic&amp;#39;s nRF7002, My Dehumidifier Tells Me When It&amp;#39;s Full! Episode 649: Giant Retro Gaming Magic Mirror with a Raspberry Pi 5! Episode 648: Home AI Image Generation Server with LattePanda and Stable Diffusion Episode 647: Building an Open-Source Tool for Cave Surveying Episode 646: Creating a Digital Roulette Table with an ESP32 DevKit Episode 645: Practical DIY Pi Pico Current Load Circuits Episode 644: Turning a Raspberry Pi Pico into a GPU! Episode 643: Making a Tribble that Detects Klingons Episode 642: Making a Time-lapse Camera with a Raspberry Pi 5 Episode 641: Moon Phase Display with Raspberry Pi Pico Episode 640: Tinkering vs Engineering: Can You Build a Laptop from Scratch? Episode 639: Off-Grid Remote Generator Starter? Episode 638: RP2040 PCB: Design, Turn-On, and Debug - How Hard Could It Be? Episode 637: Making Music with a Lego Guitar and Capacitive Touch Episode 636: Creating an IMU based 3D Mouse with an ESP32-S3 Episode 635: Vintage Electronics Exploration with a Bally Cypress Gardens Bingo Machine Episode 634: Craft a Festive LED Christmas Sweater Featuring the ATtiny416 Episode 633: Spying Under the Christmas Tree with an Arduino-powered Ornament Episode 632: Revamping Old School Pinball with an ESP32 Episode 631: All-Purpose Debugging: A Practical Universal Screen with LCD Displays Episode 630: Mega IIe: First Fully Functional Computer built around the Apple Mega-II Chip Episode 629: Backpack Splash: Mark&amp;#39;s Water Gun Upgrade for Epic Outdoor Water Wars! Episode 628: Affordable DIY Robot Arm - A Deep Dive into 3D Printing and Servo Motors Episode 627: Creating sudostick - From Prototype to Product Episode 626: Catching you Up on Bonesnapper Ridge - Off-Grid Maker Shop Episode 625: Interactive Magic - Creating an Enchanted Cauldron Episode 624: Modding A Smoke Machine to Add Motion Detection Episode 623: How to Run Linux on an ESP32 Episode 622: Building Spooky Fun: Halloween Sound Pranks with nRF 5340 BLE Audio Episode 621: Color Sensor-Based Water Quality Tracker: DIY Environmental Monitoring Episode 620: Stey-by-Step Guide to Creating your own Speaking Animatronic Hat Episode 619: How to Build an Open Source Bluetooth Mechanical Keyboard Episode 618: Upgrading My Racing Sim with a Force-Sensitive Keyboard Episode 617: Simplify Network Monitoring: Building an ESP32-Powered Solution Episode 616: Mastering Oven Control: Precision Resin Curing with DIY Modifications - How Hard Can it Be? Episode 615: Building a Unique USB Card Reader: From Idea to Prototype Episode 614: Using PID (Proportional-Integral-Derivative) in Robotics - How Hard Could It Be? Episode 613: Building a Magic Wand Talking Sound Board Episode 612: Handheld BASIC computer in Badge Format with the Arduino Uno Episode 611: How to Run the Distance to the Moon with Strava Data and a Pico W Board Episode 610: How to Embroider with Circuits and Conductive Thread Episode 609: Updating a Fujitsu N860-2500-T111 Keyboard to Work with a PS2 Standard Episode 608: Making the Simplest DIY Wind Energy Generator - How Hard Could it Be? Episode 607: From Strava to Motion: Creating an Arduino-Powered Arcade Game with Running Data Episode 606: How to Use LoRaWAN to Launch Model Rockets Wirelessly Episode 605: Arduino and LEDs Make Solitaire Easier to Solve Episode 604: Charlieplexing Buttons and LEDs at the Same Time - How Hard Can It Be? Episode 603: Create Your Own Air Hockey Table with Arduino Scoring Episode 602: DIY AC Dimmer Circuit: Control Your Lights with a Raspberry Pi Pico Episode 601: How to Reverse Engineer Electronics: Building a Developer Board for a Coding Class Episode 600: Building My Dream Digital Clock: DIY 7 Segment Display with a Cute Robot Twist! Episode 599: How to Build a Spectrum Analyzer with Lego Bricks &amp;amp; Discrete Electronics Episode 598: How To Build a Portable, Solar-Charged Off-Grid Power Station Episode 597: How to Build a Robot that Celebrates Good Grades with Arduino Episode 596: How to Build Your Own Voice Assistant with MyCroft AI - How Hard Can It Be? Episode 595: Member Challenge Accepted - Universal LANC Controller for DSLR cameras Episode 594: Repairing a Neewer 660 Studio light - How Hard Can It Be? Episode 593: Playing 3D Famicom Games Wirelessly on the NES - How Hard Could It Be? Episode 592: Lamptopus: Spinning LED Desk Lamp Episode 591: Building A Bluetooth Speaker in 5 Minutes - How Hard Can It Be? Episode 590: Seven Kingdoms Open Source Bartop Arcade Episode 589: Upgrading the iMac G4 With a NUC Episode 588: Highlights from element14 presents 2022 Episode 587: Create Your Own Talking Stress Indicator Episode 586: DIY Open Source Bluetooth Headphones Episode 585: Enhancing a Magnifying Headband with Auto Sensing Light Episode 584: Going Beyond Periodic Wakes: Using WiFi to Revive a Sleeping Device Episode 583: Epic Neopixel Birthday Cake Episode 582: Smart Christmas Decoration with Raspberry Pi Pico and MQTT Episode 581: Bee-Saving Electronics Prototype Episode 580: DIY Low Cost Capacitance Meter Using a 555 Timer Episode 579: How to Make a Basketball Auto Score Keeper Using Colour Sensing Episode 578: Build your Own Bat Detector with Analog Parts Episode 577: The Game Guy Mini, Upgrading the Unportable Game Boy! Episode 576: Build your own Underwater Drone with 3D Printed Parts Episode 575: How to Make a Secured Parcel Pickup Box with Arduino Episode 574: Ghost Rider Halloween Costume Episode 573: Using a Pi Pico to Convert Keyboard Input to Morse Code Episode 572: How to Use an ESP32 &amp;amp; Camera to Know You&amp;#39;ve Got Mail! Episode 571: Using Dead Batteries to Test for Dead Batteries Episode 570: Making a WiFi Connected Audio Spectrum Analyzer with ESP32 Episode 569: Multi-Spectrum UV Resin Curing Station with W&amp;#252;rth LEDs Episode 568: How to Make a Custom Soundboard with the STM32F4 using FreeCAD Episode 567: Synced NeoPixel Mickey Mouse Ears Episode 566: How to Automate Industrial Welding Positioners with Arduino Episode 565: Measuring Destructive Testing Force with a 20 Ton Hydraulic Press Episode 564: Build a VU Meter with LED Pixelated Nixie Tubes Episode 563: Creating Augmented Reality Circuits with Meta Quest 2 and Unity Episode 562: Pi Home Temperature Monitoring System Episode 561: WiFi to Parallel Port Ascii Art Dot-Matrix Printer Episode 560: Raspberry Pi Controlled Lego Train with Build HAT Episode 559: Create a Magic Makeup Mirror with Pose Detection Episode 558: 3D Object Rendering Using an FPGA Episode 557: Create your own Handheld Serial Monitor for Project Debugging Episode 556: Hacking a Hotel POS Tablet - How Hard Can it Be? Episode 555: Dance Central Pose Estimation Game with Tensorflow and Raspberry Pi Episode 554: Arduino Uno Mini Limited Edition LED Necklace Episode 553: Adding a Parallel Printer Port to an Android Phone Episode 552: Magical Potion Bottle Rack Episode 551: Can We Rebuild a 1930s Accounting Machine? Episode 550: DIY Electronic Controlled Motorized Wheelchair Episode 549: Using a Teletype Machine as a USB Printer with Arduino Episode 548: Electronic Fidget Cube, Building Your Ideas! Episode 547: Creating a “Mummy” Wake Word Detector with Raspberry Pi and Edge Impulse Episode 546: Mapping the Outputs of a 1960s Teletype Machine - How Hard Can it Be? Episode 545: Designing a Custom PCB for Microsoft Jacdac Episode 544: Reviving the 1984 IBM 5155 - How Hard Can It Be? Episode 543: Lego Spike Prime Weather Station with Raspberry Pi Episode 542: A Noise-Free DIY Switching Power Supply - How Hard Can It Be? Episode 541: Vintage Laptop Battery Replaced with USB Power - How Hard Can It Be? Episode 540: Object Detection for Smart Recycling Episode 539: Training a Machine to Recognize Objects - How Hard Can It Be? Episode 538: How to Build a Quadruped Robot - NO MATH! Episode 537: Build a Phonograph Preamplifier - How Hard Can It Be? Episode 536: Interactive Light-Up Window with Pose Detection using a Raspberry Pi and micro:bit Episode 535: Repair a Sega Game Gear - How Hard Can It Be? Episode 534: Open Source Inventory Warehousing System Episode 533: Jumbo DIY LED Episode 532: World’s First Single-Chip Apple II Boots! Episode 531: Game Guy - The Unportable Game Boy Episode 530: MQTT controlled LED Christmas Baubles with Raspberry Pi Pico Episode 529: UPDI Program for new ATTiny Episode 528: Let&amp;#39;s Build an Electronic Fidget Cube! Episode 527: Interactive Light Up Window using a Raspberry Pi and micro:bit Episode 526: CNC Router Remote Control Episode 525: DIY Helmholtz Snow Globe Episode 524: Arduino IoT Cloud Weather Station Episode 523: Make your Own Auto-Sensing Solder Fume Extractor Episode 522: Siren Head Halloween Wearable Costume Episode 521: DIY Static Grass Applicator Episode 520: Adding Android Auto as Non-Permanent Add-On with Raspberry Pi Episode 519: Make Your Own Ye Olde Book Nook Diorama with Arduino Episode 518: Guitar Vacuum Tube Distortion Pedal Episode 517: Emulate an EPROM - How Hard Could it Be? Episode 516: Modding a Wireless Doorbell with Raspberry Pi and ESP8266 Episode 515: Upcycling a Lenovo PC into a Raspberry Pi WiFi Access Point Episode 514: Making a 3D Graphics Card for the Atari 800 XL Episode 513: Bike Speedometer with Arduino and GPS Episode 512: You Cannot Buy This Vacuum Tube Tester. You Build It! Episode 511: Raspberry Pi Powered Cheeseball Launcher Episode 510: Laser Cutter Command Station Episode 509: DIY Discrete Logic LED Countdown Timer Episode 508: Raspberry Pi FPV Rover Easy Robot Arm Upgrade Episode 507: Massive Raspberry Pi Episode 506: DIY Star Trek Tricorder from Build Inside the Box Episode 505: Super 8 Camera Digitizer Episode 504: DIY Sump Pump Alarm Episode 503: Meet Cheesoid - The Robot That Smells! Episode 502: Make Your Bike a Pokebike! Episode 501: Raspberry Pi NFC Button-Free Music Player Episode 500: Build Inside The Box Challenge! Episode 499: DIY Four Channel Arduino Servo Tester Episode 498: Raspberry Pi Smart Water Dispenser Episode 497: RFID Pocket Money Keeper Episode 496: Compute Module 4 Powered 3D Printer Board Episode 495: Magic GIF Ball Powered By Raspberry Pi Episode 494: Keyboard Shortcuts Keypad with Raspberry Pi Pico Episode 493: NeoPixel 7 Segment Display Clock Update Episode 492: Arduino vs 555 Timer - Tiny Slot Car Racers Episode 491: Arduino Single-Wheel Balancing Robot Episode 490: DIY Raspberry Pi Pico Fizz Buzz Multiplication Game Episode 489: Build An FPV Rover with Raspberry Pi Episode 488: DIY Raspberry Pi Cyberdeck Episode 487: DIY MagSafe Battery Charger Episode 486: Make The Ultimate Phone Charging Camping Flashlight Episode 485: How To Make A Custom PCB From Design To Assembly Episode 484: Raspberry Pi Bird Watching Camera Episode 483: DIY Miniature Multimeter Episode 482: Gigantic 3D Printed 7 Segment Display Clock Episode 481: DIY LOST Swan Station Split Flap Display Timer Episode 480: DIY Toothbrush Timer Episode 479: Raspberry Pi 2XL Robot Assistant Part 2 Episode 478: Upgrading A Christmas Train Episode 477: Metal Plate Your 3D Prints with a DIY Galvanizing Machine Episode 476: IoT Arduino NTP World Clock with SPI Display Episode 475: DIY Wall Mounted Arduino Barometer Episode 474: Continuum Robot Tentacle Prototype Episode 473: Mendel 3D Printer Upgrade and Maintenance Episode 472: DIY Hydration Reminder System Episode 471: DIY Dance Dance Revolution Mat Episode 470: Voice Activated Inspector Gadget Hat Episode 469: Nintendo Super Scope Modded For Modern Televisions Episode 468: Socially Distanced Halloween Candy Dispenser Episode 467: Repairing the World&amp;#39;s First Laptop! (Epson HX-20) Episode 466: Arduino-powered Hexadecimal Color Code Clock Episode 465: Lego Raspberry Pi HQ Camera Episode 464: Particle Voice Recognition for Home Appliances Episode 463: Raspberry Pi Speech to Text LED Face Mask Episode 462: Joycon Controlled Electronic Rock&amp;#39;Em Sock&amp;#39;Em Robots Episode 461: Portal 2 Security Camera with Raspberry Pi 2 Episode 460: Trinamic Open Source Ventilator (TOSV) Teardown Episode 459: Raspberry Pi 4 VR Conference Call Assistant Episode 458: DIY Arduino Automated Metal Bending Machine Episode 457: Raspberry Pi 4 Animatronic Rosie the Robot from the Jetsons Episode 456: Unhackable Arduino Switch Matrix Episode 455: Arduino Unit Conversion Calculator Episode 454: Soldering Up the rc2014 Homebrew Z80 Computer Kit Episode 453: Build an Anti-Troll Bot Using TensorFlow and Arduino Episode 452: Raspberry Pi 4 Experimental Resin 3D Printer Updated! Episode 451: Build an Off Grid Wikipedia with Raspberry Pi Episode 450: Sega GameGear Rebuild with LEDs Episode 449: DIY Tamagotchi - Build a Virtual Pet Episode 448: DIY Raspberry Pi 4 Boxing Game Episode 447: DIY Stop Motion Rig with LattePanda Episode 446: Raspberry Pi 2XL Robot Assistant Part 1 Episode 445: Raspberry Pi 4 Animatronic BD-1 Companion Robot Episode 444: Raspberry Pi 4 DVR Episode 443: Arduino Uno RC Remote - Can It Be Done? Episode 442: Make Your Own Giant Servo Episode 441: Raspberry Pi 4 International Space Station Tracker Episode 440: DIY Arduino Helicopter Collective Joystick Control Episode 439 - Mechanical Arcade Game with Barebones Arduino Episode 438: Smartphone Controlled DIY Rover Using Websockets Episode 437: DIY Motorized Zoom for Your DSLR Episode 436: Automated Raspberry Pi Planet Tracking GOTO Telescope Episode 435: Raspberry Pi 4 Music Player w/Analog Controls Episode 434: Infineon Smart City Model Episode 433: Arduino Based Love Tester Episode 432: Super FX Sword using the BBC micro:bit Episode 431: Room-Sized Studio Light Speakers Combo Episode 430: Flaming Xylophone Rubens&amp;#39; Tube Episode 429: YouTuber &amp;quot;On Air&amp;quot; Light with Particle Mesh Network Episode 428: Raspberry Pi 4 CRT-based VR Headset Episode 427: DIY Retro Gaming Portable on a Budget! Episode 426: Retro TV Ads Holiday Ornament Episode 425: Make Your Own Raspberry Pi 4 Photobooth! Episode 424: DIY Escape Room Puzzle Episode 423: Programmable Arduino Synthesizer Watch Episode 422: Raspberry Pi E-Ink Task Organizer Episode 421: Raspberry Pi 4 Commodore SX-64 Inspired Portable Computer Episode 420: DIY Shapeoko CNC Pendant Episode 419: Altair 8800 Laptop Episode 418: Animatronic Terminator Skull with BeagleBone &amp;#174; AI Episode 417: #Pipboy 2000 Mk II Episode 416: DIY #3DPrinted Label Spooler Episode 415: Iron Man Helmet Heads Up Display Episode 414: Raspberry Pi 4 Experimental Resin 3D Printer Episode 413: Animatronic Claptrap Case Mod Part 2 Episode 412: Get to Know Your ADC with a DIY Temperature Probe Episode 411: Animatronic Claptrap Computer Case - Part 1 Episode 410: MacPro G5 Cheese Grater with Raspberry Pi 4 Episode 409: Commodore SX-64 Restoration Episode 408: Hand Soldered LED Oscilloscope Episode 407: The Ultimate Raspberry Pi 4 Laptop Episode 406: Automated Robot Artist Episode 405: RC Ornithopter Concept Episode 404: Arduino Powered Close Encounters Midi Light Board Episode 403: Upcycled IoT Coffee Pot Ramen Maker Episode 402: PiPhone++ The Giant Raspberry Pi Flip Phone Episode 401: Matrix Voice Controlled Robot Episode 400: The Ultimate Raspberry Pi Stress Test Episode 399: Candle-Powered Robotl Episode 398: Let Me Out Hooman! Bluetooth Dog Doorbell Episode 397: Steam Powered Retropie Console Episode 396: Arduino Retro LED Matrix Handheld Episode 395: Raspberry Pi Stop Motion Machine Episode 394: Animatronic GLaDOS Head with Raspberry Pi Episode 393: GameBoy Walkman Episode 392: Multi-Line Telephone Intercom Episode 391: First Person View RC Car with PS2 Steering Wheel Episode 390: Retro Texting Smart Watch of the Future! Episode 389: PlayStation Classic Portable Prototype Episode 388: FPGA MIDI Music Synthesizer Episode 387: Rotocell - The Rotary Cell Phone of the Future! Episode 386: Xybernaut Wearable PC Episode 385: 20 PCB Design Pitfalls Episode 384: Retro Gaming Handheld Without a PCB Episode 383: Gameboy Wireless Link Cable (DMG1) Episode 382: Modding a Super 8 Camera into a Digital Episode 381: Reverse Music Box Episode 380: NES Zapper on RetroPie Episode 379: Macroscope Soldering Tool Episode 378: Invader ZIM Animatronic GIR Episode 377: Altair 8800 Replica Episode 376: 4D Gaming with the Matrix Creator Episode 375: Hacked Fetal Detector Music Synthesizer Episode 374: Raspberry Pi Donkey Kong Holiday Ornament Episode 373: Raspberry Pi Fallout Terminal PC Episode 372: Raspberry Pi Auto Etch A Sketch ™ Episode 371: FPGA &amp;quot;Game Genie&amp;quot; for Atari 2600 Episode 370: Raspberry Pi NOAA Satellite Receiver Episode 369: Recreating the Atari Portfolio Episode 368: Arduino Automatic Wire Cutter and Stripper Episode 367: Most Useless IoT Device Ever - Part 2 Episode 366: Infinity Icosahedron Episode 365: Twilight Zone Fortune Telling Machine Episode 364: Raspberry Pi Virtual Reality Arcade #VR Episode 363 - Add a Motor to your Bike with Arduino Episode 362: Most Worthless IoT Device Ever Pt. 1 Episode 361: R.O.B Rebuild and Upgrade Episode 360: Make Your Own Raspberry Pi Cell Phone Episode 359: Make Your Own CNC Pyrography Wood Burner Episode 358: The Shrimp of Terror! Episode 357: Raspberry Pi Asteroid Tracker Episode 356: Bank to the Future with Arduino &amp;amp; TI Episode 355: Raspberry Pi Pirate Radio Episode 354: Tiny Vacuum Forming Machine Episode 353: Program Your Own FPGA Video Game Episode 352: Pripyat - DIY Geiger Counter Episode 349: Raspberry Pi Selfie Rocket See All Previous Episodes</description><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/episode%2breleases">episode releases</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/friday_5F00_release_5F00_archive">friday_release_archive</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/element14%2bpresents">element14 presents</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/project%2bvideos">project videos</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/episodes">episodes</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/friday%2breleases">friday releases</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/episode%2brelease%2barchive">episode release archive</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/episode%2barchive">episode archive</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/friday%2brelease%2barchive">friday release archive</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/project_5F00_videos">project_videos</category></item><item><title>Wiki Page: Modern Edge AI on Raspberry Pi 5 for an Animatronic Tracker: Vision Acceleration with AI Hat+ and AI Camera</title><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72059/modern-edge-ai-on-raspberry-pi-5-for-an-animatronic-tracker-vision-acceleration-with-ai-hat-and-ai-camera</link><pubDate>Thu, 23 Apr 2026 12:36:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:8fd32bda-d7c0-4c37-97ba-7d8a3ae548ff</guid><dc:creator>e14sbhargav</dc:creator><description>Clem revisits an earlier animatronic AI project to see what modern Raspberry Pi–based vision hardware can really do in practice. Using today’s AI accelerators and camera technology, he explores how far edge AI vision has progressed, where it still falls short, and what design trade offs emerge when performance, power consumption, heat, and physical mechanics all collide in a real build. Along the way, he works through challenges with model compatibility, motion control, LED feedback, and hardware integration, showing how small design decisions can dramatically affect how lifelike, or unsettling, a vision driven system feels. If you’re interested in building with edge AI, learning from real world limitations, or recreating parts of this project yourself, below you can access the files, code, and discussion. Watch the Project Build https://youtu.be/tRj-SPLl3iM Revisiting an Unsettling Classic: The AI Animatronic Skull Returns In 2018, Clem built what could only be described as an early warning from the future: a Terminator‑style animatronic skull powered by a BeagleBone‑AI. At the time, it was one of the first hobbyist projects to take on-device AI seriously, using machine vision to detect people and follow them with unnerving intent. It was limited, experimental, and deeply uncomfortable to be alone with, exactly what a robotic skull should be. Several years on, AI hardware for single‑board computers has advanced significantly. Rather than assume progress on paper translated to progress in practice, Clem chose to rebuild the skull from the ground up, using modern Raspberry Pi–based AI hardware to answer a simple question: &amp;quot; how far have we really come, and is it any more terrifying this time?&amp;quot; New Hardware, Old Questions The updated skull replaces the original compute platform with a Raspberry Pi 5, paired with two different AI accelerators: the Raspberry Pi AI Camera and the AI Hat+, capable of up to 26 TOPS. The intent was ambitious. Clem wanted to explore whether modern edge AI could support both fast, responsive machine vision and natural language interaction in a single embedded system. That experiment quickly revealed a hard boundary. While the AI Hat+ and AI Camera dramatically accelerate vision workloads, they provide no meaningful benefit for language models. Clem explains that even very small language models still take seconds to respond when run locally, making real-time interaction impractical: “I tried running Tiny Llama on there… and even that takes some considerable seconds. So it’s not like you can talk to the machine and it answers back in a natural way.” For now, conversational AI remains out of reach on this class of hardware. Vision, however, tells a very different story. Why Vision Still Wins on the Edge Rather than treating this as a failure, Clem reframed the project around what edge AI already does exceptionally well. In his view, vision is currently the most practical application of AI on small systems—grounded in the physical world and free from the abstractions and hallucinations of language models. Both accelerators are strictly vision‑focused, but they behave very differently in practice. The AI Hat+ delivers significantly better performance, particularly for more complex object detection tasks, but it comes at a cost. It requires a Raspberry Pi 5, draws more power, and produces enough heat that cooling becomes a serious design consideration. Clem notes plainly that “cooling is of the greatest necessity,” and that the overall system power draw is non‑trivial. By contrast, the Raspberry Pi AI Camera is far more power‑efficient, runs cool, and works across a wider range of boards. For simpler detection tasks—such as presence detection, motion awareness, or checking whether a person has entered a space, it can be the better engineering choice. The key takeaway is that these two accelerators are not interchangeable parts of a single pipeline. They rely on different model formats and workflows, and while both are capable, they are best treated as separate tools rather than a combined solution. Teaching the Skull What to Care About With vision as the focus, the skull’s behaviour becomes far more intentional than in the original build. Instead of reacting to every detection, the system selects a single “object of interest” and commits to it. Humans are prioritised, but devices such as laptops and keyboards are also recognised and tracked when relevant. Clem describes the selection criteria as simple but effective: the system focuses on the object it is most confident about—the closest, largest, and clearest detection in view. Once chosen, the skull moves to keep that object centred in the frame, using pan and tilt servos to follow it smoothly. Just as important is knowing when not to move. The skull allows for a generous margin where the object can drift within the frame without triggering motion. This reduces constant jitter and gives the movement a more deliberate, lifelike quality. If nothing is detected, the skull recentres itself and waits. If something suddenly enters from the edge of the frame, it snaps to attention—an effect Clem admits can be genuinely startling when you forget the system is running. Mechanical Reality and Software Restraint No amount of AI can fully mask the physical realities of a handmade animatronic mechanism. Clem is candid about the skull’s construction: it is intentionally compliant, meaning it will give way if touched. This makes it safe, there’s no risk of pinched fingers, but it also introduces unavoidable jerkiness into the motion. Rather than fight this in software, the system adapts to it. Movement smoothing, dead zones, and proportional control help reduce unnecessary corrections, but the AI ultimately learns to tolerate mechanical imperfection. The result is not polished in a cinematic sense, but it feels responsive and believable, arguably more so because of its flaws. Visual Feedback Through Light To make the skull’s perception visible, Clem embedded a NeoPixel LED ring into the eye socket. This acts as a direct, intuitive readout of what the system thinks it sees. When a human is detected, the LEDs glow green; laptops and keyboards are shown in red. The number of illuminated LEDs represents confidence, turning abstract probabilities into something immediately readable at a glance. There is also an alternative mode where individual LEDs represent individual detections, effectively turning the skull into a live object counter. Additional, less certain detections are shown in blue. This dual‑mode approach makes the skull not just reactive, but informative, useful during development and strangely expressive during operation. Getting this working on a Raspberry Pi 5 was not straightforward. Standard NeoPixel libraries no longer behave as expected due to changes in how the Pi 5 handles GPIO. Clem had to adopt an SPI‑based approach instead, which brings faster communication but also introduces its own constraints. Building Inside the Head - A More Thoughtful Kind of AI Clem managed to fit all processing hardware inside the skull itself; the only external component is the power supply in the base. Two hardware switches allow the system and motors to be powered independently, making it easy to shut everything down if the skull starts doing something it shouldn’t. The servo control hardware was assembled by hand using breadboards and prototyping board, with modified headers to ensure reliable connections. It’s not elegant, but it’s practical, and emblematic of the project as a whole. An interesting shift Clem observes is what modern vision models don’t do. Older examples often focused on profiling people, age, gender, facial attributes. The current ecosystem avoids this entirely, focusing instead on object and pose detection. Clem believes this is a deliberate move toward privacy‑conscious design, and ultimately a more useful direction for real projects. Smaller, Smarter, and Still Uncomfortable The rebuilt animatronic skull is not a leap toward conversational artificial intelligence, but it is a clear demonstration of how far edge‑based AI vision has come. On relatively inexpensive, compact hardware, the system can see, decide, react, and communicate its intent in real time. It is smoother, more capable, and more expressive than the original—and still deeply unsettling. Clem may joke that “maybe it wasn’t the best idea to build that,” but as a demonstration of modern AI vision, it succeeds precisely because it makes people uneasy. After all, anything that can watch you this closely probably should. Supporting Links and Files - Github Repository ( Download Mirror ) - Animatronic Terminator Skull with BeagleBone&amp;#174;︎ AI -- Episode 418 Bill of Materials Product Name Manufacturer Quantity Buy Kit Raspberry pi 5 Raspberry Pi 1 Buy Now RPI Ai camera Raspberry Pi 1 Buy Now Raspberry Pi AI HAT+ Add-On Board, Raspberry Pi 5 Boards, 26TOPS, with Built-In Hailo AI Accelerator Raspberry Pi 1 Buy Now</description><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/real_2D00_time%2bobject%2bdetection">real-time object detection</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/animatronic%2brobotics%2bproject">animatronic robotics project</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/embedded%2bcomputer%2bvision">embedded computer vision</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/privacy_2D00_aware%2bai%2bvision">privacy-aware ai vision</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/raspberry%2bpi%2b5%2bai">raspberry pi 5 ai</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/hailo%2bai%2baccelerator">hailo ai accelerator</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/maker%2bai%2bvision%2bproject">maker ai vision project</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/e14presents_5F00_mayermakes">e14presents_mayermakes</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/servo_2D00_based%2bobject%2btracking">servo-based object tracking</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/low_2D00_power%2bai%2binference">low-power ai inference</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/edge%2bai%2bvision">edge ai vision</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/edge%2bai%2bhardware%2bcomparison">edge ai hardware comparison</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/neopixel%2bvisual%2bfeedback">neopixel visual feedback</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/ai%2bcamera%2bprojects">ai camera projects</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/friday_5F00_release">friday_release</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/machine%2bvision%2bon%2braspberry%2bpi">machine vision on raspberry pi</category><category domain="https://community.element14.com/challenges-projects/element14-presents/project-videos/tags/raspberry%2bpi%2bai%2bprojects">raspberry pi ai projects</category></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=c3fa436f-c330-4314-ae5a-51cab0d7173a</link><pubDate>Thu, 23 Apr 2026 08:00:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:c3fa436f-c330-4314-ae5a-51cab0d7173a</guid><dc:creator>mayermakes</dc:creator><description>while the tutorial focusses on the basisc.. some notable improvements have been made over the last few versions that are good to be aware of. thanks for the kind feedback</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=14e5257c-2b3e-4ee0-945d-bcdf2dc7fa81</link><pubDate>Thu, 23 Apr 2026 07:53:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:14e5257c-2b3e-4ee0-945d-bcdf2dc7fa81</guid><dc:creator>embeddedguy</dc:creator><description>Nice KiCad tutorial. Such videos help to learn things fast for beginners, but it also makes experienced professional aware about the feature that perhaps they do not know are there. That is why active collaboration is much much important to make some progress.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=784b8190-45df-4b16-a852-4baf62ed3f29</link><pubDate>Mon, 20 Apr 2026 17:22:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:784b8190-45df-4b16-a852-4baf62ed3f29</guid><dc:creator>colporteur</dc:creator><description>I&amp;#39;m old school where a schematic resistor was the angled line drawing. I so much like the box approach to identify the resistore. I now have a reason to change! I hated the line drawing especially if the schematic was busy with resistors.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=755a30cc-2276-45cc-a42d-7365ff4a0311</link><pubDate>Sun, 19 Apr 2026 17:38:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:755a30cc-2276-45cc-a42d-7365ff4a0311</guid><dc:creator>mayermakes</dc:creator><description>I also do enjoy such content.. the best things are when you discover a trade secret people just do like second nature .but its actually a huge timesaver or makes a task easy.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=6eaa248e-9da8-4f6d-8c61-639c0df7c377</link><pubDate>Sun, 19 Apr 2026 16:14:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:6eaa248e-9da8-4f6d-8c61-639c0df7c377</guid><dc:creator>colporteur</dc:creator><description>The electrical vs physical view just came up recently working with an Arduino mega. In trying to minimize the rats nest from using 30 I/O&amp;#39;s I found jumping between the views gave me some placement alternatives I didn&amp;#39;t get from one view. KiCAD has to be overwhelming for the beginner. Especially if you are coming at it with no electrical/electronic back ground. I did all that stuff for PCB build when glass transistors were popular. What Ki CAD accomplishes brings tears to my eyes when I think of the past. I findwatching your video very informative. I do rather enjoy the eclectic content. Experts or more expert than me, employ techniques that provide benefits. I like uncovering those tips and techniques. I use the skills of a friend who is a very good programmer often, just to tap his experience and make savings.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=57ea22c0-ce02-43a0-b8a4-28ec61ee6527</link><pubDate>Sun, 19 Apr 2026 09:40:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:57ea22c0-ce02-43a0-b8a4-28ec61ee6527</guid><dc:creator>mayermakes</dc:creator><description>since the tutorial is meant for beginners I suggest dividing into electrical and physical view - IME people sometimes get confused by the symbol-footprint-layout connection. for an experienced dev of course thinking about the components used and tehir &amp;#252;hysical makeup during schematic is to be considered ,but thats a bit ahead for someone getting their feet wet in kicad.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=3114b2bf-3096-47d2-9a4d-42b5946f0c15</link><pubDate>Sun, 19 Apr 2026 09:38:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:3114b2bf-3096-47d2-9a4d-42b5946f0c15</guid><dc:creator>mayermakes</dc:creator><description>tried top make it a bit faster paced than the last one and put in some paractical thing instead of just place component connect with wire somehow.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=e2dfd550-b90d-4614-b6f1-e56ea9509ce6</link><pubDate>Sun, 19 Apr 2026 09:37:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:e2dfd550-b90d-4614-b6f1-e56ea9509ce6</guid><dc:creator>mayermakes</dc:creator><description>thank you!</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/5179/raspberry-pi-2xl-robot-assistant-part-2----episode-479?CommentId=5576a74a-7297-4710-828d-cea111468224</link><pubDate>Sun, 19 Apr 2026 01:51:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:5576a74a-7297-4710-828d-cea111468224</guid><dc:creator>kmikemoo</dc:creator><description>omartinjordan Have you checked out the Supplemental Content? There is a lot of stuff buried there. There are also articles on Alexa and Home Assistant on the Community (although way more for Home Assistant). Try the search engine. There will be more than one page of links and references. Sometimes the best stuff is a couple of pages back. While the Ben Heck Sow isn&amp;#39;t in production anymore, there are some awesome resources there and element14 has them all. Alexa Automated Workbench Part 1 -- Episode 325 could get you started. Good luck! Please share the project when you&amp;#39;re done. ☺</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/5179/raspberry-pi-2xl-robot-assistant-part-2----episode-479?CommentId=b971bfca-9a54-473b-b3d8-8400cbb75157</link><pubDate>Sun, 19 Apr 2026 00:47:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:b971bfca-9a54-473b-b3d8-8400cbb75157</guid><dc:creator>omartinjordan</dc:creator><description>I just found mine in my parents attic. I&amp;#39;d like to turn it into an Alexa. Does anyone know if there are more detailed instructions than the youtube videos?</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=ae70431e-1556-40e0-b374-a813307784ee</link><pubDate>Sat, 18 Apr 2026 21:54:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:ae70431e-1556-40e0-b374-a813307784ee</guid><dc:creator>colporteur</dc:creator><description>I enjoyed and learned somethings new during the presentation. I wasn&amp;#39;t aware of templates, now I have an understanding. Ctrl-D is a one key sequence that accomplishes Ctrl-C/Ctrl-V sequence. I challenge your suggestion “Don’t think about how the board will look when you’re doing the schematic. This is only about the function.” I found sometimes looking at the board while doing the schematic has helped. If you ever decide to a session on power count me in. The work around the USB-C section was a sponge learning. I confess I watched the long version at E14. In one ear I listened to an NHL playoff game while I followed your presentation.</description></item><item><title /><link>https://community.element14.com/challenges-projects/element14-presents/project-videos/w/documents/72057/your-first-real-pcb-in-kicad-an-arduino-compatible-board-designed-from-scratch?CommentId=0701aed7-7c46-4713-88dc-1c78ebe8b55c</link><pubDate>Thu, 16 Apr 2026 23:39:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:0701aed7-7c46-4713-88dc-1c78ebe8b55c</guid><dc:creator>kmikemoo</dc:creator><description>Thank you for doing this. It&amp;#39;s a lot to absorb - so the video is greatly appreciated.</description></item></channel></rss>