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I turned my old android phone into a AI-powered Vision Coprocessor
newbie here -- i dont know a lot of things about robotics , trying to learn what aspects i like and what i don't ! I built an Android-based AI vision coprocessor that performs real-time object detection, tracking, and monocular distance estimation using custom TensorFlow Lite models trained on my own datasets. The architecture is modular, so supporting a new object only requires retraining and swapping the model and configuration—no changes to the application itself. It streams lightweight perception data to embedded controllers like the ESP32, with future applications including robotic manipulation, industrial inspection, and autonomous sorting systems such as fruit and vegetable grading. for now i have trained a model to track a highlighter pen i had XD also i have attached logs of what exactly it delivers to esp32 / arduino ( in .json ) device : old redmi 5a , 3gb ram and 20gb storage -- so yeah for now its a lot jittery and distance updates are not very smooth, trying to optimise it ! these are the logs i saved through terminal for demonstration purposes , but its pretty much whats recieved by esp32 -- these can then be used by actuators to work upon submitted by /u/_Jiggle-Physicist_ [link] [Kommentare] reddit.com · reddit.com
newbie here -- i dont know a lot of things about robotics , trying to learn what aspects i like and what i don't ! I built an Android-based AI vision coprocessor that performs real-time object detection, tracking, and monocular distance estimation using custom TensorFlow Lite models trained on my own datasets. The architecture is modular, so supporting a new object only requires retraining and swapping the model and configuration—no changes to the application itself. It streams lightweight perception data to embedded controllers like the ESP32, with future applications including robotic manipulation, industrial inspection, and autonomous sorting systems such as fruit and vegetable grading. for now i have trained a model to track a highlighter pen i had XD also i have attached logs of what exactly it delivers to esp32 / arduino ( in .json ) device : old redmi 5a , 3gb ram and 20gb storage -- so yeah for now its a lot jittery and distance updates are not very smooth, trying to optimise it ! these are the logs i saved through terminal for demonstration purposes , but its pretty much whats recieved by esp32 -- these can then be used by actuators to work upon submitted by /u/_Jiggle-Physicist_ [link] [Kommentare]
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