AEWIN and UNISEM partner to launch Edge AI solutions

With the increasing use of AI and new technologies always developing, AEWIN has joined forces with UNISEM to accelerate the move into an AI-assisted future

AEWIN, which provide smartly designed networking platforms, announces partnership with UNISEM to accelerate the move into the AI-assisted future. UNISEM has taken its video analytics expertise and implemented it into useful real-world applications. 

UNISEM developed a solution that is based on AI’s Deep Learning method to help in solving traffic problems caused by complex and diverse traffic environment, and drivers’ traffic law disobedience. UniTraffic is a traffic management technology that utilises deep learning-based image processing technology and multi-object detection that counts and classifies on-road objects such as pedestrians, automobiles, motorcycles, and trucks. It can also detect the licence plate number of vehicles that violated traffic regulations. 

According to the company, it has 99% accuracy for multiple object recognition in real-time. UniTraffic solution provides statistics and traffic flow patterns to plan future infrastructural development and upgrades. Likewise, for city administration and police departments, UniTraffic can minimise the time used for administering tickets and reduce personnel costs.

“UNISEM’s vision aligned closely with AEWIN’s hardware development roadmap. The continued relationship allowed us the integrate designs optimal for UNISEM’s specific hardware requirements,” said Charles Lin, CEO at AEWIN. “Today’s announcement is the result of the past few years of cooperation. Through repeated testing and benchmarking, AEWIN has thoroughly investigated the performance characteristics of the UNISEM software suite that allows us to provide a workload-optimised total solution.”

UniSafety can help prevent incidents during manufacturing 

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, 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 unauthorised access or intrusions. 

“AEWIN has been exceedingly helpful in our quest to find the right hardware to host our solutions. AEWIN has not only provided insights in hardware design and selection, as well as taking our software in-house to provide customised firmware specific for our workloads,” said Jung Boo Eun, the Managing Director from UNISEM.


Featured Articles

Need for responsible AI in some of the world’s largest banks

Research shows one-third of North America and Europe’s largest banks lack transparency and are not publicly reporting on their AI development

Lenovo: Employees prefer mix of AI and human IT support

New Lenovo survey shows 91% of employees believe they would be more productive when their IT issues at work are resolved quickly and effectively

Kyndryl’s Data and AI Console to simplify data management

Data-driven solution expands and increases observability and insights, while enhanced data governance helps identify irregularities and threats

Deep neural networks still struggling to match human vision

Data & Analytics

Metaverse destined to become an impossible, dangerous place


Clever coders lead the way as Microsoft launches 365 Copilot

AI Applications