kaushikjadhav01/Object-Detecion-via-Smartphone-Camera-using-Faster-R-CNN
Detecting objects captured in the frame of a Smartphone Camera using Faster R-CNN algorithm. TensorFlow Object Detection API has been used for back end & OpenCV has been used to process the frames of video captured from Smartphone Camera. IPWebcam app is used to link Smarthphone to Object Detection Code
This project allows developers to connect a smartphone camera to a computer and perform real-time object detection on the live video stream. It takes the video feed from your phone and outputs a display with detected objects highlighted and labeled. This is primarily for engineers and researchers working on computer vision applications who need a simple way to use a smartphone as a live camera input for object detection experiments.
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Use this if you are a developer looking for a straightforward way to integrate a smartphone camera into a real-time object detection setup using TensorFlow and OpenCV.
Not ideal if you are a non-developer seeking a ready-to-use application for object detection or if you require advanced camera controls beyond basic video streaming.
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Last pushed
Jun 23, 2020
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