In the field of smart production, EDI has two sub-directions, one related to sensor technologies (sensing, data acquistion, fusion, processing, edge computng, wireless transmission, etc.) to increase the perfromance of different robotic and mechatronic systems (incl. legacy systems, productions lines, etc.), while the second sub-direction is related to artificial intelligence and robotics technologies.
For example, EDI has developed a low latency (<500us) real-time wireless sensor with wireless charging capabilities, measuring key parameters of the system. Configuration allows to change the accuracy, frequency and type of data measured, as well as adjust the radio transmission modulation, speed and latency. Remote monitoring allows to check battery level, wireless charging speed/efficiency, and quality of radio transmission.
Another example is an adaptive robotic system that can recognize and sort various randomly placed objects from a box using various sensors, computer vision, and deep learning. Such intelligence-enabled robotic arm is able to adapt to unexpected situations in today’s dynamic manufacturing environment. We design CNN based models and their training SW for detection, recognition and classification of chaotically stacked objects, implement stereo vision and ML algorithms on FPGA based SoC (or GPUs) as Edge platform, and implement robot control system using ROS.
Yet, another example is related to silicon crystal growing, where EDI automated the process of silicon crystal growing by developing computer vision based algorithms, control system as well as GUI:
For many more examples and possibilities to apply our knowledge to your needs, please, contact us directly.