- Object detection is a computer vision technique that works to identify and locate objects within an image or video.
- Specifically, object detection draws bounding boxes around these detected objects, which allow us to locate where said objects are in (or how they move through) a given scene.
- Objects are detected using Single Shot MultiBox Detector (SSD)), a convolutional approach, and this model can detect up to 90 different objects.
- The model is trained over COCO dataset using Tensorflow API and converted to Tensorflow Lite to run on power efficient devices (i.e. IoT devices) like Raspberry pi
- Raspbian Stretch (Operating System for Raspberry pi 3)
- OpenCV library
- TensorFlow Lite Framework
- Web Cam (i.e. to feed live video data)
- Extending for automatic braking system, whenever a red light is detected the brakes are automatically applied
- Using new raspberry pi models will give better FPS (i.e. frames per second)
- Applications are not limited to Crowd counting, Self-driving cars, Video surveillance, Face detection, Anomaly detection.
