A set of neural networks to search and identify car number plates in a video stream.
Client
A corporate entity responsible for traffic safety.
Challenge
The client approached our development team with the task of building and implementing a set of neural networks to search and identify car number plates in a live video stream.
Solution
Our machine learning development team developed a set of neural networks that solved the search and recognition problem of identifying car number plates in a live video stream. The goal was to achieve consistent, high-quality results with more than 90% accuracy and work with a 4k video stream at 60 FPS or higher. In addition, the software was required to operate on an embedded computer, NVIDIA Jetson TX2. This required maximum acceleration and optimization of neural network calculations. Our development team built and optimized the software and was responsible for collecting and marking training data (more than 20 thousand images).
Tags
- AI
- All backend
- Computer Vision
- Neural Network
- Python
Development Team
Recommended by 97% of Our Customers
Right provider for complex projects
DevTeam.Space built a custom web portal for a hedge fund. They handled a complex development project, remaining organized and professional throughout. They’re accessible and tackle any challenge. Customers can expect a quick and skilled development team.
Singapore
Talented, responsive and reasonable!
We manage the IT for an almost 100 year old international Not-For-Profit Foundation. Between our inhouse team and DevTeam.Space we made our deadline, and have received overwhelmingly positive feedback from the end-users and management.
New York, NY
DevTeam.Space rocks
We needed a new long-term product development partner to identify the issues, and ideally, take over the entire product. The performance of our shipping platform increased dramatically since DevTeam.Space stepped in. We plan to continue working with them on a long term basis.
Fort Lauderdale, Florida
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