COMPUTER VISION AND AUGMENTED REALITY
Computer Vision (CV) and Augmented Reality (AR) are cutting edge technologies that are rapidly becoming a game changer in many domains since they are enabling transformation of the human machine interactions. This is ultimately bringing new possibilities unachievable before. For example, AR technology allows to diagnose faults and maintain industrial machinery by integrating a physical shape of the device with a digital model in real-time. This approach significantly is reducing human errors and time of the process. Another applications are infotainment, people flow management, navigation, quality control, etc. Being profound experts in embedded systems we’re offering efficient CNN/DNN portation to constrained devices. We know how to achieve best performance with technology stacks like TensorFlow and OpenVINO while reducing complexity of CNN/DNN. Moreover we have a track record of combining edge data processing with cloud management in order to arrange self trained IoT system with optimized data traffic.
• Deep Neural Networks
• Computer Vision
• OpenCV, OpenCI, CUDA
• Augmented Reality
• Unity, Unreal Engine
Smart Assistant to FAEHaving many facilities with complex industrial equipment require a large workforce trained enough to handle many troublesome situations. However, training this large workforce might not be financially viable and reading high volumes of manuals is not efficient anymore for many troublesome situations. This leads to an unintentional misuse of devices and big damage or loss in production environments. AR allows to overcome this situation by offering FAEs remote assistance in the field. For example, displaying corresponding manuals, AR guided smart instructions, displaying maintenance check list, etc. This can reduce errors, increase efficiency and control over your workforce. Functionality:
- AR-based live support video calling
- Remote AR
Application in Automotive
Algorithms from Machine Learning, Computer Vision and Augmented Reality can be implemented in HMI together with Advanced Driver-Assistance Systems (ADAS) to increase car safety and more generally road safety.
- Object detection (pedestrians, vehicles, traffic signs, traffic lights, Points of Interest)
- Gesture control for HMI
- Driver monitoring
- Safety alerts, navigation elements, infotainment features on Head-Up Display
- Integration with WMS platform.
Warehouse AssistantModern warehouses represent highly sophisticated facilities resembling busy downtowns of large cities. The efficiency of a warehouse’s loader in finding fastest routes to shelves with products, avoiding errors and clogs may increase productivity operations. Real-time tracking of current status of all operations, heat-maps of all routes in warehouse, real-time notification of ending stocks – all of these comprise a smart warehouse. Functionality:
- usage with smart glasses (ex., EPSON-BT300);
- real-time navigation just with a monocular camera (no additional dongles, QR codes, etc.);
People flow analysis
Through pairing CV, DNN and IoT technologies we can build a system capable to count people indoor and outdoor, analyse people flow and foot traffic, recognise people for access management purposes. The software system and recognition algorithms can be flexibly distributed among onsite server and cloud while being configured and update totally remotely.
- People counting
- Queue counting
- Crowd counting
- Visitor counting
- Foot traffic analysis
- Face recognition