Description
Computer vision for people flow analysis in an underground metro station

One of our customers, a CCTV system integration company, requested us to develop a system to count people and measure people flow in underground metro. The purpose of the system is to assist platform load and passenger queues. The video surveillance system had been already deployed there and RTSoft should propose a hardware and software add-on by a very competitive price. 

RTSoft helps customers to 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:

  • Visitors headcount

  • Crowd headcount

  • Queue detector

  • GDPRA compliance 


Key facts
  • On premise video server
  • AI/ML software: RTSoft OMGE
  • Software recognition accuracy
  • OTA software updates: RTSoft IoT Rollouts
Solution

In the early stage of the project RTSoft built people recognition algorithms and tested them onsite on several CCTV cameras in the collaboration with cusomter’s technical team to identify possible set of use cases and draft requirement for the solution. Since the end-solution was supposed to be implemented based on 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 frames capture

  • People recognition

  • Graphical user interface 

  • Target reports and statictis

  • OTA software updates.

Finally, the system was successfully installed and passed through performance, load balancing and acceptance tests and was acquired as a software product by our customer.


Benefits for customers
Valuable reports and sensitive data protection
GDPR compliant people recognition
On-premise solution, fast deployment and scaling
High accuracy of video recognition algorithms
RTSoft IoT Rollouts
Remote management of all system components
Technologies
More projects
Computer vision for people flow analysis in an underground metro station

One of our customers, a CCTV system integration company, requested us to develop a system to count people and measure people flow in underground metro. The purpose of the system is to assist platform load and passenger queues. The video surveillance system had been already deployed there and RTSoft should propose a hardware and software add-on by a very competitive price. 

RTSoft helps customers to 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:

  • Visitors headcount

  • Crowd headcount

  • Queue detector

  • GDPRA compliance 


OTA update for PoS Terminals
RTSoft has been tasked by major IT provider of automation systems for Retail industry to develop a solution for remote update of software (operating system and/or application) for a family of devices PoS terminals.

The solution should allow an automatic rollback in case of update failures such as connectivity problem or unexpected power loss, implement versioning and secure delivery mechanisms, and be customizable for future integrations.

Additionally, the solution should include a cloud back-end service for device and software repository, content delivery and rollout management.

The target devices’s characteristics are:

  • SoC: Mediatek MT7688
  • Flash memory: 64MB
  • Operating system: Linux (OpenWRT)

STM32MP1 customized firmware manages smart robotics operations

RTSoft designed and developed the firmware for a smart robotics controller that makes the controller an excellent platform for educational and business uses. 

The system software implements the abstraction interface for work with various sensors and actuators like ultrasonic, camera, thermo, photo, encoder motor, servo motor and many others in Real-Time. The programming API is available in python and C/C++. 

The robotics platform features the color touch display with the graphical interface, which can also be customized by a user via the programming API.

Besides on-board GUI the solution implements two remote interfaces: WebDAV and ssh. Integration with a cloud is supported via MQTT protocol. 

The connectivity is available via WiFi, Bluetooth and USB Ethernet. SD card and USB flash drives can be used to distribute data to/from the controller. Multiple controllers can be connected with each other via CAN interface where a Master controller can seamlessly operate with remote sensors and actuators connected to a Slave controller(s) in the same real-time manner.


Digital cockpit
RTSoft has been chosen by Motherson Innovation GmbH, an innovative automotive company, for prototyping “The Empathic Cockpit” – a digital cockpit of the  future, harmoniously absorbing the newest available technologies for reaching a unique level of comfort and real-time functionality.
The solution was presented at the CES 2018 Show in Las Vegas.

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