How to Fix Raspberry Pi Camera Crashes While Detecting Objects with Python Scripts

Discover how to troubleshoot and resolve crashes with your Raspberry Pi Camera when detecting objects using Python scripts. Our step-by-step guide helps streamline your project effectively.
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This video is based on the question https://stackoverflow.com/q/72277308/ asked by the user 'Vasudeva S' ( https://stackoverflow.com/u/13171472/ ) and on the answer https://stackoverflow.com/a/72278324/ provided by the user 'Vasudeva S' ( https://stackoverflow.com/u/13171472/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Troubleshooting Raspberry Pi Camera Crashes: A Comprehensive Guide

If you're an enthusiast looking to use the Raspberry Pi Camera Module for object detection, you may run into performance issues or crashes. While you may find that your Python script runs smoothly on a laptop camera, challenges can arise when executing it on a Raspberry Pi 3B with a Camera Module. In this post, we will discuss the issues that can cause crashes and provide a clear solution to get your project back on track.

The Problem

In your case, the Python script used for detecting intrusions in your home works perfectly when tested with your laptop's camera. However, the same code crashes when executed on the Raspberry Pi 3B. The error message you encountered is quite telling:

[[See Video to Reveal this Text or Code Snippet]]

This error indicates that there is an issue with the images being processed—specifically, that the function expects a specific format that your current input does not meet. Let's dissect how to solve this issue.

Understanding the Solution

Fixing the Code

The root cause of your crash is in the line where you retrieve bounding rectangle coordinates. Currently, you’re attempting to create a bounding box based on the entire frame image:

[[See Video to Reveal this Text or Code Snippet]]

This line needs to be corrected to reference the contours you are scanning instead. You should be using the contour variable c instead of frame1, which will correctly process the detected contours. Here's the corrected code snippet:

[[See Video to Reveal this Text or Code Snippet]]

Implementing the Changes

Here's how you would adjust your code:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Now you've successfully resolved the issues with your Raspberry Pi Camera object detection script. By changing the reference in the cv2.boundingRect function from the image frame to the contour itself, your script should run smoothly without crashing.

This troubleshooting approach not only helps you address the immediate problem but also provides insight into debugging other potential issues you may encounter in similar projects.

Happy coding, and enjoy the capabilities of your Raspberry Pi Camera Module!

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