Arduino Object Detection Track is a utility application designed for electronics enthusiasts, particularly those working with Arduino and Raspberry Pi microcontrollers. The app leverages OpenCV libraries for computer vision and Google TensorFlow Lite for machine learning, enabling it to detect and classify various objects through a smartphone camera. Users can track lines, color blobs, circles, rectangles, and even people, sending the detection data to Bluetooth-enabled devices for further analysis. This functionality is particularly useful for robotics projects where real-time object tracking is required.

Key features include the ability to detect and track color blobs, circles, and people using the Histogram of Gradients (HoG) method, as well as the detection of TensorFlow Lite Coco objects. Users can also load custom TensorFlow models for tailored applications. The application provides detailed data formats for transmitting detected parameters over Bluetooth, ensuring compatibility with various microcontroller setups. Optimal performance is achieved under good lighting conditions, and users are advised to adjust settings for improved detection accuracy.