Cubic Partners with CVEDIA to Enhance AI
Cubic Corporation has partnered with CVEDIA to enhance its GRIDSMART products by utilizing CVEDIA's synthetic data technology. This collaboration aims to improve deep learning models for intelligent transportation systems (ITS) and enhance safety for drivers and vulnerable road users at intersections. The GRIDSMART product, installed in nearly 10,000 intersections globally, employs real-time computer vision technology for vehicle and pedestrian tracking. The partnership, which started in 2019, seeks to eliminate training data bottlenecks and enhance algorithm performance through advanced AI models.
- Partnership with CVEDIA to enhance GRIDSMART products.
- Improves AI models for object detection and safety.
- Installed in nearly 10,000 intersections globally, indicating strong market presence.
- Elimination of training data bottlenecks improves algorithm performance.
- None.
Cubic Corporation today announced its Cubic Transportation Systems (CTS) business division has partnered with CVEDIA, an artificial intelligence (AI) solutions company to enhance its GRIDSMART products.
CTS will utilize CVEDIA’s synthetic data technology to continue to rapidly scale deep learning models for GRIDSMART omnidirectional cameras and other intelligent transportation systems (ITS) solutions. The GRIDSMART product pioneered horizon-to-horizon, computer-vision tracking for ITS applications and is installed in nearly 10,000 intersections in more than 1,500 communities globally.
“Safety is the most fundamental need for all drivers and vulnerable road users traveling through intersections. CVEDIA’s AI and synthetic data expertise allow us to both augment our existing AI models and rapidly iterate for new applications,” said Jeff Price, vice president and general manager of Cubic Transportation Systems’ ITS unit.
GRIDSMART is a complete omnidirectional-imaging, real-time computer vision product comprising hardware and software that works with traffic controllers to actuate intersections and provide rich analytics data. GRIDSMART uses real-time computer vision technology and deep neural net classification to track and discriminate vehicles, bicyclists, and pedestrians as they approach, enter and exit intersections. The system improves safety for bicyclists and pedestrians while simultaneously allowing for improved intersection efficiency with multimodal traffic.
CVEDIA will enhance and build new AI models for object detection and classification, support vulnerable road users (VRU) and safety efforts, and improve vehicle detection and high-resolution localization. CVEDIA’s synthetic technology puts an end to the need for training data, thereby eliminating training bottlenecks such as manual labeling while dramatically improving algorithm performance.
“CVEDIA is excited to expand our relationship with CTS and GRIDSMART,” said Arjan Wijnveen, CEO and co-founder of CVEDIA. “We are the only company that has solved the ‘domain gap’ issue of synthetic versus real data performance. By using our technology for GRIDSMART products, we will further our mission to create a new generation of AI.”
The partnership began as a consultancy in 2019 after Cubic acquired GRIDSMART Technologies, Inc.
About Cubic Corporation
Cubic is a technology-driven, market-leading provider of integrated solutions that increase situational understanding for transportation, defense C4ISR, and training customers worldwide to decrease urban congestion and improve the militaries’ effectiveness and operational readiness. Our teams innovate to make a positive difference in people’s lives. We simplify their daily journeys. We promote mission success and safety for those who serve their nation.
About CVEDIA
CVEDIA takes the work out of computer vision development. The future of AI is simple - that’s why we built technology to bring your ideas from concept to market in 2-4 weeks. Our market-leading synthetic data technology lays the foundation for more accurate, more powerful, and easier-to-understand AI - all while integrating into your team’s workflow and hardware.
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