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Documents Project14 | Photography: We're Giving Away Raspberry Pi HQ Camera Kits for Projects that Use Them!
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  • Author Author: tariq.ahmad
  • Date Created: 12 May 2021 9:12 PM Date Created
  • Last Updated Last Updated: 21 Nov 2021 9:16 PM
  • Views 8213 views
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  • Comments 99 comments
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Project14 | Photography: We're Giving Away Raspberry Pi HQ Camera Kits for Projects that Use Them!

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Photography                                               Submit an EntrySubmit an Entry

 

Monthly Themes   | Monthly Poll   |  Back to homepage image

 

 

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In the Comments Below: Let Us Know What Projects You Want to Do Around Photography!

 

If Your Project Proposal Involves a Raspberry Pi HQ Camera Kit You Could Win a Free Kit!

 

 

Raspberry Pi HQ Kit
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Buy NowBuy NowBuy NowBuy NowBuy NowBuy Now

 

 

“When words become unclear, I shall focus with photographs. When images become inadequate, I shall be content with silence.”— Ansel Adams

 

The theme this month is Photography  and it comes from dougw .   His idea was to build any projects involving photos.  You could do projects involving stop action photography by combining timers and photography to create stop action photography video projects or any number of projects involving image processing and cameras.  You could do TinyML projects using OpenMV as covered in Build Powerful Wildlife & Livestock Trackers with OpenMV and Edge Impulse, a computer vision project involving AI such as the drone project in Arduino Day Workshop: NanoDrone II: AI and Computer Vision with LoRa (Win a PSoC6 and a Pair of MKR 1300 Boards!) ,  training a neural network such as in LDR Camera #10 : The Artificial Neural Network (SimonnV5) and LDR Camera #8 : Fully Working Camera , using advanced vision and frame manipulation for obstacle avoidance such as in BBAI Seein' Around Corners, Talkin', IoT Exploitin' Backup Car Cam with Onboard Vision AI ,  FPGA such as in SecuCam #2: Hardware Accelerated Motion Detection with the PYNQ-Z2, robotic automation such as Episode 489: Build An FPV Rover with Raspberry Pi , augmented reality such as ARBot #5 : The Final Working (after a fashion) System , and even a Lego Camera such as Episode 465: Lego Raspberry Pi HQ Camera.   There's a lot scope to these projects so share your project ideas below and help inspire one another to get as creative as possible!  If your project idea involves the Raspberry Pi HQ Camera then we'll send you a Raspberry Pi 4 B,  a Raspberry Pi HQ module, and a 12 MP lens to help you turn your idea into a reality.  We're giving away up to 5 Raspberry Pi HQ kits as a promotion.  You can still use whatever hardware you like but we'll pick a few project proposals to send kits to!

 

 

 

 

 

Here are some projects to inspire you:

 

Photography:  Project Ideas
Episode 465: Lego Raspberry Pi HQ CameraRaspberry Pi HQ Camera - Review by  dougw
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Lens from an old camera for a digital camera and macro photography. by maxpowerrHAL-CAM 9001 – Building a New Security Camera by shabaz
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SecuCam #2: Hardware Accelerated Motion Detection with the PYNQ-Z2 by Attila TőkésLaser Shutter Tester by  sokol07
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Episode 489: Build An FPV Rover with Raspberry PiBBAI Seein' Around Corners, Talkin', IoT Exploitin' Backup Car Cam with Onboard Vision AI by  Sean_Miller
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Vehicle Speed Camera - Beaglebone AI by  gam3t3chLDR Camera #8 : Fully Working Camera
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Poop Buster with Beaglebone AI by  weiwei2BBAI-Dried Sea Cucumber Species Identifier by  kurst811
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Driver State Monitor with OpenCV and BeagleBone AI by  vlasov01ARBot #3 : The Augmented Reality Headset by  dubbie
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Arduino Day Workshop: NanoDrone II: AI and Computer Vision with LoRa (Win a PSoC6 and a Pair of MKR 1300 Boards!)R2-D2 Arcade Live by balearicdynamics
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Episode 484: Raspberry Pi Bird Watching CameraEpisode 382: Modding a Super 8 Camera into a Digital
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Your Chance to Win

 

Be Original
Stick to the Theme
  • You could come up with a clever name that make's your project memorable!
    • This project is your baby! Part of the fun of bringing something new into the world is coming up with a name.
  • Your project could introduce something new or that is not commercially available or affordable!
  • If you have an idea for a project that doesn't fit the current theme then submit your idea in the comments section of the monthly poll.
List the Steps
Submit Video Proof
  • Provide the steps you took to complete your project (text, video, or images).
    • This could be a step by step how-to-guide, vlog, schematics, coding, napkin drawings, voice narration, or whatever you think will be useful!
  • If it doesn't work that's fine, this is more about the journey than the end product.
  • A short video is all that is required but you can shoot as much video as you like.
  • You are encouraged to be creative and have as much fun as possible!

 

Your Project Examples

 

Photography
Laser Shutter Tester by  sokol07BBAI Seein' Around Corners, Talkin', IoT Exploitin' Backup Car Cam with Onboard Vision AI by  Sean_Miller

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Your Prizes

 

One Grand Prize Winner Wins a $200 Shopping Cart!Three First Place Winners Win a $100 Shopping Cart
  • One Grand Prize Winner Wins a $200 Shopping Cart!
  • 3 First Place Winners a $100 Shopping Cart!
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Some Terms & Conditions Apply:  How to Redeem Your Shopping Cart for Project14

 

Your Project, Your Ideas!

 

About Project14
Directions

Every month you'll have a new poll where you'll get to decide an upcoming project competition, based on your interests, that will take place a couple of months in advance. Themes are broad in scope so that everyone can participate regardless of skill set.

 

What are Monthly Themes?

  • Every month (around the 14th of each month) a new theme will be posted on Project14.
  • Submit your ideas (proposals) for your projects to get feedback from the rest of the community.
  • Submit a project entry in the Theme space once you start working on it.

 

What are Monthly Theme Polls?

  • Every month (around the 14th of each month) there is a project theme poll.
  • Vote on which project competition you want to see for the following upcoming theme.
    • The themes voted on during the previous poll decided the upcoming theme.
    • If you submit an idea for a theme that is not used then it can still be used in a future poll.
  • Themes comments and ideas from the comments section of the project theme poll.

Step 1: Log in or register on element14, it's easy and free.

Step 2: Post in the comments section below to begin a discussion on your idea. Videos, pictures and text are all welcomed forms of submission.

Step 3: Submit a blog post of your progress on your project by the end of the month.  You are free to submit as many blog entries as you like until the beginning of the next theme.

 

Be sure to include video proof of your project!

 

Visit:  Photography  or tag your project blog PhotographyCH

 

You have until July 14th End of Day to submit your completed project!

 

 


 

 

A jury consisting of your peers will judge project submissions!

 

 

In the Comments Below: Let Us Know What Projects You Want to Do Around Photography!

 

If Your Project Proposal Involves a Raspberry Pi HQ Camera Kit You Could Win a Free Kit!

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Top Comments

  • tariq.ahmad
    tariq.ahmad over 4 years ago +13
    Congratulations to fyaocn , Attila Tőkés , michaelwylie , scottiebabe , and dixonselvan . You are the additional winners of the Raspberry Pi HQ camera kits. I know we weren't able to get these out as soon…
  • tariq.ahmad
    tariq.ahmad over 4 years ago +11
    Meant to post this here: Congratulations to amgalbu , hugohu , weiwei2 , 14rhb , and robogary your Raspberry Pi HQ Kits are on the way. Due to all the great entries, I have ordered additional kits and…
  • tariq.ahmad
    tariq.ahmad over 4 years ago in reply to hugohu +8
    Hi hugohu , I would expect within the next couple of weeks. Currently looking over the responses and will wait to finalize the announcement till I am in the office and can send out.
Parents
  • akshitagupta15june
    akshitagupta15june over 4 years ago

    Hello Everyone, For my entry I will be creating a VEHICLE-X : Real-Time Vehicle Detection, Tracking, Number Plate Detection, and Speed Estimation using Raspberry Pi HQ Camera project

     

    Real-Time Vehicle Detection, Tracking, Speed Estimation, and number plate detection.

     

    As we are going for a walk, escorting our kids to school, or going to our work in the morning, we’ve all experienced unsafe, fast-moving vehicles operated by inattentive drivers that nearly mow us down.

    We feel almost powerless. These drivers disregard speed limits, crosswalk areas, school zones, and “children at play” signs altogether. When there is a speed bump, they speed up almost as if they are trying to catch some air!

    So here comes the technology of camera in action.

    Hello Everyone, my name is Akshita Gupta and for my entry, I will be creating a VEHICLE-X project that will be a real-time vehicle detection, tracking, number plate detection as well as speed estimation.

     

    To build the VEHICLE-X, I will use the following components

    • Raspberry Pi 4
    • 7" touch display for a proper preview
    • Raspberry HQ Camera

     

    Implementation

    1. Pi HQ Camera will detect vehicles in video using a MobileNet SSD.
    2. Tracks the vehicles
    3. Estimates the speed along with the number plate of a vehicle and stores the evidence in the cloud.
    4. I will also configure the Raspberry pi with openVINO environment to improve the fps rate.

     

    Advantages-

    1. The smart system can help track people, vehicles traveling from Point A to Point B.
    2. The solution encompasses a mechanism by which law enforcement agencies can track if there is a deviation from a specific route, the speed of the vehicles can also be detected.
    3. This solution will ensure that vehicles do not cross a speed limit to minimize accidents with animals, who cross the road, especially during monsoon.
    1. For nighttime use, we may need infrared cameras and infrared lights and/or adjustments to our camera parameters.

    This is a small image of the solution which I have performed using a pre-recorded video and have used only Open Cv for it without a pi camera.

     

    image

    I hope you all liked it

     

    Akshita Gupta

     

    Eagerly waiting to create this.....

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  • weiwei2
    weiwei2 over 4 years ago in reply to akshitagupta15june

    i have tried out similar application on Raspi 4. with object detection + tracking, the speed will be very slow, slower than 1fps

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  • akshitagupta15june
    akshitagupta15june over 4 years ago in reply to weiwei2

    Have you used GPU? When I tried motion detection using my inbuilt camera it gave 32 fps. Hope so I will make it better.

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  • weiwei2
    weiwei2 over 4 years ago in reply to akshitagupta15june

    you mean you use your PC or raspberry pi?

    with raspberry pi, even if it has a small gpu, you can't use it for object tracking + detection, i guess no library for non NVidia gpu

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  • weiwei2
    weiwei2 over 4 years ago in reply to akshitagupta15june

    you mean you use your PC or raspberry pi?

    with raspberry pi, even if it has a small gpu, you can't use it for object tracking + detection, i guess no library for non NVidia gpu

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  • akshitagupta15june
    akshitagupta15june over 4 years ago in reply to weiwei2

    If you are facing fps problem then I suggest you to configure your raspberry pi4 with OpenVino Environment. it works in my case

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  • hugohu
    hugohu over 4 years ago in reply to weiwei2

    1fps??? Wow. I have a NCS2 I got from hackster last year so I plan on using that to speed some things up, hopefully.

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  • weiwei2
    weiwei2 over 4 years ago in reply to hugohu

    having said that the frame rate does depends of the size of the video. i haven't tried with openvino nor NCS2 so can't comment much. i did try with Xilinx Kria, i would say its speed is good

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  • hugohu
    hugohu over 4 years ago in reply to weiwei2

    Thanks for replying.

     

    I'll probably try on 5-10FPS with 480-720 p(it's not like I'll be doing facial recognition)

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  • akshitagupta15june
    akshitagupta15june over 4 years ago in reply to weiwei2

    Yeah try with OpenVino

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  • moi8765
    moi8765 over 4 years ago in reply to weiwei2

    The Raspi on its own was never supposed to be an image processing device. The frame rates are simply horrible. With the neural compute stick 2, I am getting around 8 fps. I have no idea what kind of performance I'll get with the high quality camera. I am expected fps to drop further. Its definitely not suitable for capturing very dynamic movement.

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  • akshitagupta15june
    akshitagupta15june over 4 years ago in reply to moi8765

    That's what i wanted to try this project from rasp HQ, let's see hope for best.

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  • Sean_Miller
    Sean_Miller over 4 years ago in reply to akshitagupta15june

    Just for info, one thing I do to improve streaming/recording video and applying AI is to perform the ai on an interval versus every frame.  It keeps the video smooth when there isn’t anything of interest detected.

     

    Sean

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