Our work
Description
Computer Vision
One of our customers, a CCTV system integration company, requested us to develop a system to count people and measure the flow of people in an underground metro. The purpose of the system is to improve platform load and passenger queues. The video surveillance system had been already deployed there and RTSoft should propose a hardware and software add-on at a very competitive price.
RTSoft helps customers build AI + IoT applications through integration of computer vision, data analysis and augmented reality. Our experience in embedded platforms (Intel Movidius, Nvidia Jetson, Google Coral) and dedicated ML frameworks (Openvino, TensorRT, TFLite) made it possible to fulfill this project.
System features:
Visitor headcount
Crowd headcount
Queue detector
GDPRA compliance
Key facts
- On premises video server
- AI/ML software: RTSoft OMGE
- Software recognition accuracy
- OTA software updates: RTSoft IoT Rollouts
Solution
In the early stages of the project RTSoft built people recognition algorithms and tested them onsite on several CCTV cameras in collaboration with the customer’s technical team to identify a possible set of use cases and draft requirements for the solution. Since the end-solution was supposed to be implemented based on the RTSoft OMGE proprietary platform it was quite a simple task to rapidly design data flows, develop and bring up the system, and then scale it to multiple CCTV cameras. Then RTSoft developed a deployment ready docker with all key components inside:
Video frame capture
People recognition
Graphical user interface
Target reports and statistics
OTA software updates.
Finally, the system was successfully installed and passed through performance, load balancing, and acceptance tests and was implemented as a software product by our customer.
Benefits
- Valuable reports and sensitive data protection
- On-premises solution, fast deployment and scaling
- RTSoft IoT Rollouts
- GDPR compliant people recognition
- High accuracy of video recognition algorithms
- Remote management of all system components
Technologies
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