Artificial intelligence (AI) is everywhere these days. In order to meet the needs of various AI applications, Axiomtek has developed a series of edge AI embedded systems with various form factors and configurations: from the low power consumption yet high-performance embedded systems to the server-grade industrial PCs, helping customers achieve operational improvements, productivity increases, and cost reductions in manufacturing, transportation, agriculture, smart cities, and retail industries. Developers and system integrators can utilize pre-trained inference models to build a variety of computer vision programs with their datasets, encompassing the tasks of image classification, object detection, facial recognition, people counting, surveillance video analytics, license plate recognition, vehicle tracking, industrial machine vision inspection, and so on.
Personal Protection Equipment (PPE) Detection & Access Control
Safety and security at the workplace have always been the major concern of every employee and employer in every industry. In order to prevent the risk of accidents and reduce the chances of injuries and death, personal protective equipment (PPE) detection plays an important role in the workplace. Axiomtek's AI-enable embedded system not only helps to detect whether workers are wearing their safety vests and helmets properly but also validate their authorization before workers enter the site.
Automated Optical Inspection
Today's printed circuit boards (PCBs) are becoming more complex with smaller and more densely compact components. By integrating artificial intelligence (AI), automated optical inspection (AOI) is able to expand its inspection capabilities through machine learning, which facilitates increased yield, improves fabrication operations and processes, and reduces manual operations. In order to process images and signals quickly and accurately, the AI-enabled embedded vision system with the high-performance Intel® processor and support of the OpenVINO™ toolkit is required. The embedded system must integrate real-time vision I/O to connect triggers, optical sensors and LED lighting control and support camera interfaces to achieve automated online inspection.
Packaging affects every single part of logistics operation throughout supply chains. To reduce labor costs and boost productivity, AI can make the operation smarter. Through the combination of the 3D camera, robotics arm, barcode scanner, and AI, Axiomtek’s edge AI system helps accelerate the processes of carton dimension measurement, carton classification, carton color detection, pallet optimization, and more. By integrating wireless connectivity and cloud services, the data analysis result and freight information can be transferred from the edge to the data center and monitoring center for further use in data optimization, freight tracing, and freight management.
The traffic management program involves the implementation of an on-site video IoT solution with edge AI processing power to analyze live video feeds from street surveillance cameras. It aimed to provide timely traffic control via real-time video content analysis, meanwhile relieving the burden of transferring large video datasets back to the cloud for analysis. Axiomtek’s rugged edge AI computing system, with its PoE camera connectivity, deep learning capability, as well as ruggedized design for harsh outdoor use, was deployed to facilitate traffic management by performing the tasks of computer vision-enabled video analytics.