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Unwanted Object Detector

  • 8 Devlogs
  • 18 Total hours

Making a python program that can detect dangerous objects UOD from a camera feed/image

Ship #1 Pending review

DroneAI is ready!

It is a real-time AI security camera app that detects knives and pistols using YOLO, shows boxes/confidence on the video feed, and can trigger alerts.

I added webcam support, ESP32-CAM stream support, a CLI, config setup, offline testing, training scripts, screenshots!

  • 8 devlogs
  • 18h
Try project → See source code →
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5h 3m 26s logged

Finally finished the project!

Split the components for future scalability in Detections, The program is fully complete and ready to use!

Finally finished the project!

Split the components for future scalability in Detections, The program is fully complete and ready to use!

Replying to @BimBim

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1h 6m 29s logged

The final stretch of the project, Decided to try and finish it today itself probably will take me a hours on end but tomorrow is a holiday so… lets see

The final stretch of the project, Decided to try and finish it today itself probably will take me a hours on end but tomorrow is a holiday so… lets see

Replying to @BimBim

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1h 31m 53s logged

Just Finished the firmware for the esp32 cam, and it works! here are some of the examples!

Just Finished the firmware for the esp32 cam, and it works! here are some of the examples!

Replying to @BimBim

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19m 16s logged

Had a few more bugs ;p, fixed and trained the data!, also added a detailed README to my github.

Next steps: Make the esp32 cam model work and to makes its framework

Had a few more bugs ;p, fixed and trained the data!, also added a detailed README to my github.

Next steps: Make the esp32 cam model work and to makes its framework

Replying to @BimBim

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1h 11m 47s logged

Finished the final fixes to the training parameters, Now the next part is training the module for hours on end on a dataset we get from kaggle!

Finished the final fixes to the training parameters, Now the next part is training the module for hours on end on a dataset we get from kaggle!

Replying to @BimBim

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5h 10m 46s logged

Finished the weapon training module and now the entire system is completely working!

Next Up, we are going to train it against a model and hopefully the outcome is what we hopped!

Finished the weapon training module and now the entire system is completely working!

Next Up, we are going to train it against a model and hopefully the outcome is what we hopped!

Replying to @BimBim

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30m 37s logged

Fixed several issues across the pipeline and added a local LLM-based analyzer. Also got a successful connection to the ESP32-CAM after spending 45 minutes (NO idea why it says 16 mins)

The local analyzer is now processing camera data correctly, and the ESP32-CAM link is stable. Next step is building and well training a larger dataset on stronger models to improve detection accuracy and overall reliability.

Fixed several issues across the pipeline and added a local LLM-based analyzer. Also got a successful connection to the ESP32-CAM after spending 45 minutes (NO idea why it says 16 mins)

The local analyzer is now processing camera data correctly, and the ESP32-CAM link is stable. Next step is building and well training a larger dataset on stronger models to improve detection accuracy and overall reliability.

Replying to @BimBim

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25
Open comments for this post

2h 42m 16s logged

Just tested out the new project and it semi-works, next is adding ollama support and training on few datasets currently it just gets it on geometry.

Just tested out the new project and it semi-works, next is adding ollama support and training on few datasets currently it just gets it on geometry.

Replying to @BimBim

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