Overview of CYEYELAB
Established in 2021, CYEYELAB operates at the pre-A investment stage under the leadership of CEO Jongwoo Jung. The company specializes in AI integrated wh mobily and public smart cy applications. s core technologies include AI development and operations, MLOps for model handling, AI API and SDK creation, pruning and optimization, as well as edge and on-device AI. Applications focus on computer vision, robotics, and autonomous driving. Vis the company’s webse at www.cyeyelab.com for more details.
Intelligent Solutions for Traffic Management
CYEYELAB combines AI wh traffic engineering to gather real-time road data and deliver smart traffic control solutions. The company addresses shortcomings in tradional systems that depend on manual visual checks by using intelligent image analysis to automate data generation and control. This approach provides practical insights into safety, management, and operations.
Through collaborations wh enties like Incheon S and the Korea Road Traffic Authory, CYEYELAB has rolled out nationwide solutions for traffic data generation and signal optimization. The firm now partners wh key players such as LG and Hyundai Engineering & Construction to push forward technology commercialization.
Key Products
The flagship offerings include CY.EYE for road traffic information collection, CY.SIGNAL for signal optimization, and CY.SAFE for fire early detection.
- CY.EYE: Employs deep learning on visible light and thermal images to capture real-time traffic volume, speed, and trajectories. Data gets standardized in LDM Layer 4 format.
- CY.SIGNAL: Leverages gathered traffic data and AI reinforcement learning to automate signal adjustments at intersections, integrating wh control systems to boost efficiency.
- CY.SAFE: Applies multi-modal anomaly detection using visible light, thermal imaging, and gas sensors to identify early signs of electric vehicle fires.
Future Expansion and Platform Development
CYEYELAB aims to evolve into a comprehensive AI platform for traffic safety, targeting nationwide and global reach for s AI-driven traffic data and signal solutions. Over the next two years, the company will center efforts on a next-generation AI Edge-Box and a unified urban data platform.
Enhancements to CY.EYE and CY.SIGNAL will incorporate advanced features like traffic forecasting, congestion analysis, and accident detection. CY.SAFE 2.0 will introduce a multi-sensor fire-prevention system combining visible light, thermal imaging, gas, vibration, and acoustic sensors.
The firm plans to create an AI-based urban data hub that unifies traffic and safety data, extending applications to smart cies, industrial areas, and parking systems. This platform will support global smart-cy iniatives in nations like Malaysia and Saudi Arabia, using a SaaS model for demonstrations and services.
In the coming five years, CYEYELAB targets broader adoption by local governments and public bodies across the country, posioning self as an LDM-based mobily data hub for integrated traffic analysis, signal management, and congestion prediction. The AI Edge-Box will enable an ecosystem for on-se real-time processing, improving data secury and reducing costs. Revenue diversification will come from integrated hardware-software offerings.
Collaborative R&D wh partners including LG, Hyundai Engineering & Construction, the Korea Expressway Corporation, and local governments will drive demonstrations to TRL 8 or higher, achieving industry standards and certifications. Global entry will follow through K-Cy and smart-cy export projects to Malaysia and Saudi Arabia.
“CY.EYE, CY.SIGNAL, and CY.SAFE feature structures for low-latency inference on AI edge boxes, allowing expansion into a unified smart cy platform for traffic safety,” stated Jongwoo Jung, CEO of CYEYELAB. “We remain commted to platform advancements, new product development, and establishing ourselves as an export leader in vision AI.”
