Arduino Portenta Vision Shield (ft. OpenMV examples)
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- Опубликовано: 10 ноя 2020
- The Portenta Vision Shield brings industry-rated features to your Arduino Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly or via Ethernet to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events.
- a 324x324 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor
- a 100 Mbps Ethernet connector: get your Portenta H7 connected to the wired Internet
- two on-board microphones for directional sound detection: capture and analyse sound in real time
- JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer
- SD-Card connector: store your captured data in the card, or read configuration files
[Updating the Portenta Bootloader]
www.arduino.cc/pro/tutorials/...
[OpenMV]
openmv.io/
#Vision #Shield #Portenta #ArduinoPRO #OpenMV #HM01B0 #Camera 
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Thank You. This was a helpful description of the Portenta Vision shield.
Thanks for watching🤞
That Project's Channel - ruclips.net/user/ThatProject
Join FB Group - facebook.com/groups/138965931539175
I wonder how much more performance "camera + portenta --direct wireless connection--> portenta + display" will be over the ESP32 version...
Interesting. yeah, I'd like to try that way.
I can't believe I just bought a grayscale camera
"Color Filter Array Monochrome and Bayer"
the product page says "monochrome and Bayer" what are there trying to say here does it support color or I have to perform image processing with this grayscale.
is there any why I can capture color images.
if its QVGA in grayscale I highly doubt what will be the resolution when used in color(if supported)
If you watch the video all the RGB graphs are almost the same. It converts GRAYSCALE into a fake RGB so that it can run machine learning models that were made for RGB. All pictures and videos taken with this camera will be saved in GRAYSCALE.
sir plaese help me in running vision shield camera
lot less people know about protenta
whatever thanks for your explanation
can we use this protenta h7 nearly same as jetsone nano like image recognition and for other stuff
The maximum use of the Arduino Portenta H7 will be Tensor flow lite not the full version of Tensor flow. If you need to focus on the vision machine learning then you absolutely go to the Jetson Nano for sure. Arduino Portenta Family series are not fully grown. I guess it needs more time to get it useful for real projects.
@@ThatProject they are already very useful for real project, for QC control in manufacturing they are absolutely powerful enough. How you can say is not a ready for real project when you say in the video you never use the developing environment. 😔😔
thanks
wait for next post
Great, but too expensive. How about a kendryte k210 based board?
The Kendryte K210 is a good choice. You can try Tensor Flow and Vision machine learning at a reasonable price. Also, I'm also very interested and looking for a good opportunity to touch them too.
@@ThatProject I have already started working with maixduino and pyai-k210 and am quite impressed with their capabilities.
@@mahnotv8871 Awesome!!!! I'd like to play with it too.
If you build a professional system this is not expensive at all.
My vision shield is not working. After about 3 seconds of streaming the video back to OpenMV, the image freezes, and then shortly after the portenta h7 disconnects. I've tried different laptops and different USB cables. Has anyone else had the same problem?
Have you tried changing the firmware version of your H7?
@@ThatProject thanks. Yeah, I've updated the firmware (multiple times). I wonder if there's just an issue with the camera. I've tried using deprecated versions, the latest version of board firmware. But the result is ways the same. It's strange
@@Seanomarachain That's weird. When I have time, I will try again after updating the latest firmware.
@ThatProject ok, its an issue with the laptops. I used a desktop Linux box and it worked....
@@Seanomarachain I'm curious how your laptop could be the problem. Anyway, I'm glad it was resolved.
Hi, I have a question .. i've been researching camera models the last few days to select one with good quality and responsiveness like the one in the mobile. So, in the coco delivery robot, i can see they are using a really great camera, but i'm not sure now if they are using cheap simple microcontrollers like Arduino and ESP. So, based on the camera from their video (ruclips.net/video/nDmUyxjdCO8/видео.html), do you think this is a camera that can be connected to a simple microcontroller, or is it a professional one that requires more resources such as RaspberryPi?
This should focus on the processor rather than the camera.
It seems this project uses a camera module with a similar resolution to OV2640s. The problem is image transfer. If you use ESP32 or Arduino, you cannot quickly send images from multiple cameras to a specific server. With this problem, it's most likely that this is using SBC.
@@ThatProject thank you so much! based on your answer I managed to form a good question to ChatGPT and it suggested to get a better processer like the one in rasberrypi. chatgpt answer: If you are experiencing compression artifacts during high-motion scenes, it may indicate that the video encoder is struggling to keep up with the demands of the scene. In this case, upgrading to a more powerful processor can help improve the encoding performance and reduce the amount of compression artifacts in the video stream, resulting in higher quality video.
i need your barcode scanner I don't see the code below minute 9:00
It's an example source code of OpenMV built-in code. Try it.
@@ThatProject can i get the code The bottom part of Can you scan a barcode?
@@ThatProject I am a student I'm working on a project about scanning barcodes. I need your barcode
Can I have a way to contact you please?