AI Inferencing Solutions for Surveillance
Proven performance in surveillance
Surveillance using multiple sensors at the edge connected to AI-powered analytics has the ability to influence outcomes in a number of environments - retail, warehousing, logistics and entertainment. Leading organisations are leveraging AI to reduce shrinkage, improve forecasting, automate warehouse logistics, determine in-store promotions and real-time pricing, deliver personalized messages and recommendations to customers and deliver better experiences in stores, theatres, casinos and more.
Use Cases
Asset Protection
Retailers worldwide are losing billions per year to shrinkage, however the use of intelligent video analytics can accurately and efficiently reduce shrinkage. By improving asset protection at points-of-sale, reducing shoplifting throughout the store, and detecting burglary offenders, employees can work to stop loss in real time.
AI Inferencing Solutions
Scan has partnered with Advantech and NVIDIA to bring to market a range of AI Edge Solutions for inferencing – the MIC series. Powered by the NVIDIA Jetson GPU series, these provide the performance of a GPU workstation in an embedded module. Featuring strict validation ensure thermal, mechanical, and electrical compatibility, plus industrial-grade anti-vibration, high temperature operation capabilities, and modular, compact-sized design, these are the perfect hardware platforms for medical imaging, microscope analysis and automated diagnostic applications.
The range includes various models designed for specific environments and tailored for particular inferencing workloads. Many are modular allowing expansion through the i-Module expansion chassis or the i-Door interface to add PCI slots, extra connectivity or control modules.
Network Video Recording (NVR) Solutions
Edge AI Solutions
Learn more about the usage of AI and computer technologies to enhance IT infrastructure in this presentation by CEO of Scan Computers, Elan Raja, at the Advantech IIoT Virtual Summit. Skip to 1:01:28 in the video to view Elans presentation