Our work
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)
- Custom-built Linux kernel and OpenWRT image for A/B update mechanism
- Modified U-Boot for A/B update mechanism
- Custom implementation of Direct Device Integration (DDI) protocol for an edge device
- Custom implementation of an Update Server as a cloud service
RTSoft provided its architecture and software development expertise on a system level. In the early stage of the project RTSoft collaborated with client's technical team to identify possible set of use cases and draft requirement for the solution that provide a best trade-off for the client. During a development phase RTSoft offered the solution's architecture and developed all software components some of which were based on open-source software.
On the client-side, RTSoft modified system software and developed update software components which provide:
- update delivery mechanism
- verification and installation mechanism
- reporting.
On the server-side, RTSoft developed a "ready to be deployed as a Docker container" cloud service harnessing the open-source Eclipse hawkBit software.
The service provides the following functionality:
- authorization mechanisms
- software distributions repository update process monitoring
- different batch rollout campaigns
- administrative REST API
- Web GUI and console tools.
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:
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Visitors headcount
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Crowd headcount
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Queue detector
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GDPRA compliance
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)
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.
The solution was presented at the CES 2018 Show in Las Vegas.