Hey,
I need a Node Red that can identify a particular object in an image and then make a security prediction for the detected object in the given image context. Have someone an idea how to Implement it ?
Well you could try searching the forum for "object detection" and look at the dozens of posts on the subject, and see if any of them help you ?
Well...maybe tell what object types you will be looking for. Might be you will have to train your own model depending on what is currently covered by available algorithms & models
I'm asking here once more because I've already done that. I appreciate your guidance .
It's a metal piece that varies in shape and placement throughout the image. I have considered using a machine learning tool like TensorFlow, but I'm not sure how to go about it.
So this now sounds like an airport scanner type application ?
Hello,
As per as my knowledge,
To implement object detection and security prediction in Node-RED:
- Use a pre-trained model for object detection like YOLO.
- Input images via file or camera feed.
- Process images to identify objects.
- Develop a function to analyze objects for security risks.
- Output alerts or actions based on the analysis.
I hope this will help you,
Thank you
This will only work if you are looking for objects that are covered by the trained the model you use. If not you have to train your own custom model. Plenty of information "how to" can be found on the net. Also depending on what object detection system you select. YOLO is very accurate but it might be too slow if you have to detect objects very quickly