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Mass production of next-generation video analyzers imminent through NIPA's "AI Application Demonstration Support Program." 

- Developed edge analyzers passing 15 environmental evaluations with 3 AI model certifications.

- Achieved higher power efficiency and durability by replacing GPUs.

- Customizable design integrates C-ITS essentials, advancing smart city innovation.

Laon Road Accelerates Preparations for the C-ITS Era

The edge video analyzers commonly used in traditional ITS (Intelligent Transportation Systems) for smart intersections often faced significant challenges, 

including lack of proper certification, unsuitability for outdoor environments, and hardware limitations. 

These issues included overheating of edge PCs, performance degradation due to dust and water exposure, and insufficient AI analysis capabilities of GPU-based systems, 

which struggled with handling complex data simultaneously. 

These challenges spurred the development of a high-performance edge video analyzer(MEC) designed to overcome these shortcomings.

AI-Powered Video Analyzers to Overcome ITS Limitations

Laon Road's video analyzer addresses the shortcomings of conventional ITS devices, targeting advanced urban monitoring applications and new market opportunities. 

By integrating multi-detection capabilities, it processes over three AI models simultaneously—including object detection, vehicle re-identification, and license plate recognition—

effectively analyzing data in complex environments like intersections.

Utilizing domestically produced AI semiconductors instead of GPUs, the system achieves significantly improved power efficiency and enhanced hardware specifications. 

During pilot tests conducted across three consecutive intersections in Anyang City, the analyzer demonstrated its ability to enhance urban control systems through multi-detection data integration.

In traffic management, the system can efficiently monitor both point-based and segment-based traffic data, enabling better traffic flow control. 

This innovation is expected to reduce societal costs, optimize power consumption, and increase the adoption of different AI semiconductors, according to Laon Road representatives.

Enhancing Reliability Through Real-World Testing

During field testing, Laon Road addressed identified issues to enhance product reliability. 

The system was improved with heat-resistant designs, waterproof and dustproof capabilities, and enhanced power efficiency. 

Adjustments to the embedded board's casing and cooling systems ensured stable operation in outdoor environments, ranging from -34 degrees to 74 degrees Celcius. 

The improved product successfully passed environmental performance evaluations, including 15 compliance tests, 

and secured additional certifications for its three multi-detection AI models, solidifying its market competitiveness.

Limitless Potential of Laon Road’s Video Analyzer

Designed to replace existing ITS video analyzers, Laon Road’s solution offers unmatched flexibility. 

By optimizing internal space for heat circulation and allowing additional equipment installation, the product integrates seamlessly with industrial sensors and traffic signal controllers. 

It also supports Near-Field Communication(NFC) terminal functionality to enhance autonomous vehicle safety and improve overall traffic systems.

Sungmin Kim, the lead transportation engineer for the project, stated, “This design can integrate with various traffic infrastructures, 

significantly increasing the efficiency of edge-based traffic control systems. 

It also lays the groundwork for vehicle-to-vehicle communication, making it a valuable asset for autonomous driving and next-generation intelligent transportation systems(C-ITS).” 

He emphasized the product's potential to drive innovation in the autonomous vehicle and smart traffic sectors.

Future Plans and Vision

Laon Road’s Vice President, Byoung Ki Kang, outlined the company’s roadmap:

“Our next-generation video analyzer is set to penetrate both the ITS and C-ITS markets by obtaining additional certifications, 

including electromagnetic compatibility(EMC), KC certification, and government procurement registration, to enhance product reliability and accessibility. 

We plan to continually refine the product based on field data and user feedback to ensure it remains optimized for next-generation traffic systems. 

Furthermore, we aim to boost product recognition through domestic and international exhibitions and promotional activities, 

while increasing market share in autonomous driving and smart city applications.”

The industry is closely watching Laon Road’s next-generation video analyzer, as it leverages cutting-edge domestic AI semiconductor technology to overcome the limitations of ITS. 

This innovative solution is poised to become the foundation for advancing traffic management and shaping the future of smart cities.