Advantech is expanding its array of computer vision offerings through a new partnership with Quanergy. The latter is best known as a developer of Light Detection and Ranging sensors (aka LiDAR), which will be integrated into Advantech’s portfolio of edge servers to support a number of different smart city and smart logistics operations.
According to Advantech, Quanergy’s LiDAR sensors will be particularly useful in warehouses, where they can be installed in a fixed location or mounted on a vehicle to prevent collisions. The sensors can detect, identify, and track objects in any lighting or environmental condition, and can also be deployed on the perimeter to enhance venue security.
The technology has similar utility in the retail and automotive industries. In that regard, LiDAR can help venue managers count the number of people in their establishment, allowing them to comply with COVID-19 social distancing protocols without compromising the privacy of the people in the store. LiDAR does not use facial recognition, which means that consumers do not need to opt in and that the system will not capture any identifying information about the customers it detects.
“The industry 4.0 transition is built on real time data gathering with smart analysis to simulate and predict the decision making for the ‘next best action,’” said Quanergy CMO Enzo Signore, CMO. “We are thrilled to partner with Advantech to accelerate productivity in the smart city, smart spaces and logistics sectors.”
“The collaboration will open significant new opportunities for both companies that we would have had difficulties in addressing individually,” added Advantech iCity Services Europe Head Styrbjörn Torbacke.
Quanergy unveiled new people counting and access control QORTEX solutions in December of 2019. Advantech, meanwhile, has built its portfolio with several new partnerships over the course of the past year. The company recently integrated Imprivata’s OneSign system to improve the security of its medical devices, and previously teamed up with CyberLInk in an effort to bring better facial recognition to IoT devices.