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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 .   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 
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Lens from an old camera for a digital camera and macro photography. by HAL-CAM 9001 – Building a New Security Camera by
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SecuCam #2: Hardware Accelerated Motion Detection with the PYNQ-Z2 by Laser Shutter Tester by 
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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 
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Vehicle Speed Camera - Beaglebone AI by  LDR Camera #8 : Fully Working Camera
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Poop Buster with Beaglebone AI by  BBAI-Dried Sea Cucumber Species Identifier by 
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Driver State Monitor with OpenCV and BeagleBone AI by  ARBot #3 : The Augmented Reality Headset by 
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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
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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  BBAI Seein' Around Corners, Talkin', IoT Exploitin' Backup Car Cam with Onboard Vision AI by 

 

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!

  • in reply to kittenz

    "...or maybe it can be done with ML..."

    OpenCV / R-Pi celestial computer vision project using HAAR cascades to detect star patterns. May be of interest ?

     

  • in reply to beacon_dave

    Here is some video of the night sky which has been captured using the Fujinon F1.8 lens.
    Looks like it has been captured using a 2.35Mpix imager.

     


    Some more info on all sky lenses (and more videos) at the creator's website here:
    https://skyinspector.co.uk/allsky-camera-ii/

    https://skyinspector.co.uk/time-lapse-night-sky-videos/

    It is quite an old lens - I was looking at using it for a time-lapse project with a 5Mpix CCTV camera around 10 years ago.

  • in reply to kittenz

    Same lens:
    image of night sky
    There is a 1.4Mpix version of the photo available at:
    Venus Optics Laowa 4mm F2.8 Sample Gallery: Digital Photography Review (dpreview.com)

    Note that the Venus Optics Laowa 4mm F2.8 isn't available as a C-Mount lens, so you would need a lens adapter to use it with the R-Pi HQ camera module.

    Fujinon do a 5Mpix rated fisheye with C-Mount:
    Fisheye lenses | Fujifilm FE series | Machine Vision Lenses | FUJINON | FUJIFILM

     

    and Theia do a 12Mpix rated fisheye:

    https://www.theiatech.com/ty180ir

    but once again, it is a M12 S-Mount, so would need an adapter.

  • I am a Navigation Engineer and would like to implement a celestial navigation program in the Raspberry Pi HQ Camera KIt, I was thinking about a domed view of the sky to get images of the celestial sphere and then reading the comments saw that:

    A 360 degree fisheye lens might be good for this:

      LAOWA 4mm F2.8 Fisheye Time-lapse photography - YouTube

    It should have an internal nautical almanac and UTC clock, and somehow get the observed altitudes of certain planets(Mars, Venus, Jupiter, Saturn): a gyroscope and some image recognition through color and relative size will probably help or maybe it can be done with ML, then apply the corrections and do the math/use the nautical astronomy formulas to get its current position: latitude and Longitude.

     

    Wondering if it would work and/or I would be able to implement, it sure will be a challenge! image

  • in reply to weiwei2

    Yesterday did another round of webex workout (without the video overlay)

    now have more idea. plan to add a joystick button to start/stop and select preprogram workout type. the block diagram should be like this

    i actually try install IP camera adapter and found that my video conference sofware webex can detect it as a camera source

    the raspberry pi with the high quality lense and camera would be good fit to make such high resolution webcam.

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    And here is a video (fast forwarded) to see it without the overlay yet image

    https://www.facebook.com/100008074350601/videos/pcb.2941465926132524/2941465339465916

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  • in reply to hugohu

    I finished my initial prototype with a Raspberry Pi 4 and posted my blog post. Would be awesome to have a HQ camera for it, so that it would have much better photo quality, as well as a camera mount.

  • I have two projects planned that would require a Raspberry Pi HQ Camera Kit.

     

    Project #1 Goal: I would like to create a full sized 3D model of large objects such as humans using photogrammetry.  Basically I want to be able to take a 3D model "selfie".

    Project #1 Implementation: Create an automatic photogrammetry rail system for building full sized 3D models of large objects such as humans.  Think of "bullet cam" used in the Matrix but with a raspberry pi and HQ cam riding on 2020 aluminum extrusion rail system surrounding a human.  The Pi+HQCamera+battery is self contained and mounted on a camera carriage just like is used for camera rail tracking.  The rail track is in a circle surrounding the target object in the center of the circle, such as a person, and the Pi camera would zip around the object, riding on the A2020 track, taking high quality pictures at high speed and saving the pictures.  The pictures can then be processed using photogrammetry software to build a 3D model of the object...which I would like to also automate as much as possible.

     

    Project #2 Goal: Let our dog go out our doggy door to the outside, but do NOT let our cat go out the same doggy door.

    Project #2 Implementation: I would like to use object detection/computer vision/AI using the Pi+HQ Cam to determine if the "object" approaching is our cat or is our dog, and trigger (GPIO/Servo/etc.) to either lock or unlock the doggy door to the outside.

  • in reply to kdhildred5

    Your project idea seems unique. I also have those cassettes. Maybe someday I will also try to get images from them.

    Anyways... all the very best!!!

  • Good morning everybody

    For this project14 theme, I would like to create an Emoticam

    An Emoticam is a camera that tries to overlay a picture with the "feelings" that the subject you are framing are evoking. It's difficult to detect someone's emotions. Heart rate sensor will be integrated in the camera, but photographer will also be able to adjust the "amount" of each basic emotion (happy, sad, fear, disgust, anger, surprise) through sliders. The effect I want to achieve is shown in these sample photos

    image

    This is not supposed to apply just a color filter, but to mix and match styles from masterpieces of painting to create an artwork that leaves a lasting impression of your memories and feelings

     

    To build the Emoticam, I will use the following components

    • Raspberry Pi 4
    • 7" touch display to preview the image and change emotion settings
    • Raspberry HQ Camera
    • Heart beat sensor

     

    What do you think of this project?

     

    Cheers

    Ambrogio

  • Hi All,

    been collecting pi stuff for about 4 years now.

    Original project thoughts and now my real project is to scan 35 reels of family films shot in Super8 format. Got the ver1 camera but I'm looking forward to trying out the latest release - at least to do some testing. Project was on hold as had to sell house and buy another move towns to do so.

    Some of these family movies go back 50 to 60 years and none of the family now here have seen them.

    Too scared to put through the projectors I have.

    Anyway even if dont get selected I'm still going to put it all together.

    Will be 3D printing parts and converting old enlargement rig to allow camera adjustments.

    Software has been written by a person in Spain he gave me a free copy running on a PC/Pi setup under Linux system so I'm translating into English.

    Lots of build constraints to work through. But with the widespread use now of 3D printers, wonderful designs locked in people's heads have come to the world community.

    Anyway good luck to all entering.

    And may the Pi be with you - whatever your flavor.

    Kevin.