Touch Cloud Inc.: Edge AI for Detection and Protection
Simon Lee, Co-Founder & CEO
Today, running a server-based AI requires transferring a large amount of data to the processing power sitting in the cloud and back, and the process has inherent limitations, more importantly, the latency. Such a setup can be used for predictions of business issues and proactively be addressing those, rather than real-time monitoring of business operations. For instance, modern day scenarios require real-time performance observation such as surveillance and defect detection, which call for response time in milliseconds, and it cannot be achieved with a traditional server-based AI setup. According to the Co-Founder and CEO of Touch Cloud Inc., Simon Lee, "The only way to reach real-time performance is to run AI on the edge devices." Touch Cloud Inc. was founded to run AI on edge devices with high performance and accuracy, providing solutions and applications to make AI easier, faster, and smarter. Touch Cloud leverages edge computing and provides AI Surveillance, AI Automated Optical Inspection (AOI), and Industry 4.0 solutions, helping customers solve their problems and fulfil their needs economically. "Edge computing can reduce the impact of data technician delay and cost by taking the server side to the field and minimizing resources consumed," explains Lee.
Touch Cloud’s AI Surveillance with edge computing undertakes real-time video and live streaming analytics that helps both detect and identify unusual objects and activities appearing in the field of vision, with high accuracy, unlike existing Intelligent Video Analytics (IVA) which only facilitate detection and not identification. "The solution can also inform the AI user about the motion of the object/person detected which is valuable information from a security perspective at prisons, stations, and factories," says Lee.
During the manufacturing process, defects that harm product yield and quality need to be detected and classified to protect the production quality and reduce the cost spent on review and repair processes. The company’s AI AOI improves the real-time defect detection and identification of AOI and provides the defect classification capability with domain knowledge learned by AI.
Edge computing can reduce the impact of data technician delay and cost by taking the server side to the field and minimizing resources consumed
The increasing amount of data generated by manufacturing lines around the globe (due to growing complexity of manufacturing processes and machinery) calls for big data analytics to improve detecting the root cause of the defect, accompanied by customers seeking more accurate and efficient image analytics in manufacturing lines. AI running on edge devices, helps Industry 4.0 facilitate abnormality prediction and root cause analytics in manufacturing plants.
Touch Cloud entrusts NX Witness VMS with managing the connectivity to different types of IT cameras and basic functions such as video storage, while Touch Cloud oversees the analytics. The similarity in business logic, Touch Cloud's flexible architecture to embed their AI engine with NX's software, and expansion of Touch Cloud's business footprint using NX's installed base, drives the collaboration between them.
Chroma ATE Inc., the parent company of Touch Cloud, offering test and measurement instrumentation, automated test systems, manufacturing execution systems (MES),and test and automation turnkey solutions, supports raw data collection from the manufacturing line. "Together with Chroma, we provide customers the turnkey solution equipping each Chroma machine with Touch Cloud AI engine to assist customers in IoT data analysis and predictions for manufacturing improvement," states Lee.
Touch Cloud aims to continue developing practical use cases of its solutions while integrating with AI and AOI machine and software vendors. Planned AI applications under intelligence transportation system include advanced driver assistant system (ADAS) and driver behavior detection. Under intelligence security system, Touch Cloud intends to improve the traditional IVA's function and accuracy, developing tracking and detection of objects in motion. The company also intends to extend its geographical footprint to different countries with different approaches hiring agents for the promotion of their solutions.