LIVE VIDEO OBJECT DETECTION SYSTEM
DOI:
https://doi.org/10.62643/Keywords:
Yolo (you only look once), CNN (conventional neural networks), Raspberry Pi, SSD (single shot detection), ML (machine learning), DL (deep learning)Abstract
In Artificial Intelligence and computer vision have transformed way of the machine’s world around them. In live video object detection system have gained significant attention due to the ability of identifying, classify and track objects in a real time. This project presents the design and implementation of powerful deep learning techniques to provide accurate continuous video. The objective to develop a detection system is accurate and adaptability across the different domains. The high-performance computing the platform on the resources constraint like Raspberry Pi and NVIDIA Jetson making in real world environment. By reducing the human introduction, minimizing the errors.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
