AEWIN’s UniSafety Solution

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To prevent various accidents during the manufacturing process, AEWIN cooperates with UNISEM’s IoT Division to provide UniSafety, an AI-based computer vision solution. This is a Smart Factory solution that uses Deep Learning-based computer vision technology to provide a safe work environment, prevent potential accident, and reduce serious injuries.

UniSafety is based on video analytics technology enhanced with deep learning that allows detection of various dangerous situations, such as fire, falling materials, abnormal process, crush injury danger, non-wearing of safety equipment, intrusion, etc., that can occur during the production process. In the case of an accident or unusual situation, the system informs the safety supervisors via web-dashboard notification, text message, and loudspeaker. It also offers motion detection for detecting unauthorized access or intrusions. This can allow a more open working space without using barriers to keep out intruders.

UniSafety analyzes real-time video feeds to surpass the limitations of visual supervision on the shop floor, so all the situations on the factory site can be detected automatically. UniSafety automates monitoring and operates 24/7 to allow the supervisory staff to maintain focus and reduce incident response time. This in term helps to protect the factory floor workers, reduce damages to equipment, and minimize potential down times. UniSafety provides hourly/daily conditional statistics for generating detailed safety management report. Supervisors and managers can access and monitor through the web-based dashboard from PC or smart phone browser to provide flexibility and ability to audit the factory floor from anywhere. This solution has uses outside of the factory, such as construction sites, shipyards and warehouses.

AEWIN BIS-3101 is a light and powerful accelerated edge platform optimized for UniSafety. It is outfitted with Intel 9th Gen Coffee Lake 8 core CPU, dual-width FHFL NVIDIA GPU accelerators, 32GB memory, and two Ethernet for redundant network access. Through repeated testing and benchmarking, it enabled us to fine tune the performance of GPU accelerated BIS-3101 for application specific workloads. See how AEWIN and UNISEM together can help you increase the operational safety of your workspace.

Coffee Lake 8 core Light Edge Computing system
32G memory, two 2.5 or 3.5 SSD/HDD, on board M.2 slot, support dual width FHFL GPU.
Support Intel 8/9th Core i7/i5/i3 (Coffee Lake-S) series processor, LGA 1151
●2x channel DDR4 2400MHz un-buffered / Non-ECC SODIMM, max support 32GB

●1x dual width PCIe Gen 3 x16 slot, supporting RTX-3070