Challenge
Provision of an accurate image object detection solution.
Solution
Developed and delivered a custom object analysis system
Tools Utilised
C++, Python, PyTorch, OpenCV, NVIDIA TensorRT
Our team came up with an Initial idea of building a object recognition solutions to detect missing objects in an airport.
After a few brainstorming sessions, our team of computer vision and AI experts came up with a solution. We suggested that a customized object analysis solution that can be utilized for detection of missing bag types in the airport, firefighting detection and tracking of objects in smoky environments and detect lost children in public spaces.
Our team implemented an obect detection system. Our solution has made it possible to detect and recognize missing bag types in the airport. Detecting objects or people in smoky environments after fires and detect lost children in crowds and public spaces.
The solution identifies the object in the crowd based on their features ,The results get checked against the feature database if there is a match the system alerts the user.
Strengthening the system
Within a tight time frame, we’ve successfully completed this Customised Object recognition system project. The collaboration with Alfa Xprienz Innovation Labs has brought the following benefits:
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