This year, Gigaipc, a leading manufacturer of embedded computing solutions will be exhibiting at the Automate, one of the largest robotics and automation event in the Americas, and taking place in Detroit, Michigan around mid May 2025. Gigaipc will present their latest AI-driven monitoring programmes with surveillance systems at the event.
The latest solution, Gigaipc QBiX-Expert-RPLA1340PH-A1 with Cloudmatrix smart surveillance system, will be showcased. The solution is able to help reduce theft and security risks by integrating AI-driven monitoring programmes with surveillance systems. This technology precisely analyses video data to identify suspicious activities, such as customers concealing items without checking out. Timely intervention can significantly reduce financial losses due to theft. It can detect suspicious behaviour in real-time, such as loitering or unusual movements, and trigger alerts to store security personnel. The system can display deterrent messages or security warnings on screens near high-risk areas when potential theft is detected, subtly discouraging criminal activity.
Powered by the Intel Core i5-1340P Processor, this fanless industrial system delivers high-efficiency performance with support for up to 64GB of dual-channel DDR5 memory. The combination of DDR5 memory and dual 2.5GbE LAN ports enables high-speed data transmission and precise video analysis to detect suspicious activities in real time.
Additionally, it features dual HDMI outputs for multi-display support and four PoE LAN ports for seamless IP camera integration, ensuring a robust and responsive smart surveillance solution.
Gigaipc is a known specialist in high-performance and reliable hardware for industrial and commercial applications. The company’s solutions are designed to support a wide range of use cases, including intelligent surveillance, edge AI computing, and industrial automation.
With a strong focus on security and efficiency, Gigaipc products enable seamless integration for smart monitoring, video analytics, and real-time data processing in critical environments.
