Object detection with deep learning and OpenCV
Object Detection with YOLO (You Only Look Once) in TensorFlow and Neural Networks revolutionizes real-time object identification in images or video streams. This application uses neural networks to implement YOLO, ensuring rapid and accurate detection of multiple objects within a single glance. The system’s efficiency in handling diverse object categories and scenarios makes it a valuable tool for applications such as security surveillance, autonomous vehicles, and augmented reality.
Real Time Object Detection Project with Source Code
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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