Unwanted Object Detector
- 8 Devlogs
- 18 Total hours
Making a python program that can detect dangerous objects UOD from a camera feed/image
Making a python program that can detect dangerous objects UOD from a camera feed/image
Finally finished the project!
Split the components for future scalability in Detections, The program is fully complete and ready to use!
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
Just Finished the firmware for the esp32 cam, and it works! here are some of the examples!
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
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 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!
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.
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.