Introducing Exa – Advanced Edge AI Processing for Survision Generation 5 Cameras

Survision is proud to announce the release of the new EXA models (Edge Extreme Accelerator) for its Generation 5 Micropak and Visipak product lines.

The EXA models introduce an embedded AI accelerator directly within the camera, complementing the existing CPU architecture and significantly increasing AI and deep learning processing capacity. This enhancement enables larger and more complex AI models to run directly at the edge, delivering faster and more advanced vehicle recognition capabilities without relying on external processing resources.

With the EXA upgrade, Survision continues its commitment to innovation in intelligent vehicle identification technologies, providing customers with enhanced performance, scalability, and future-ready AI capabilities.

Key Performance Benefits

The EXA engine is designed to improve recognition performance in real-world conditions while delivering faster and more reliable results.

• Better reads on non-reflective, dirty, and angled license plates
• More accurate confidence levels for improved decision-making
• Ultra-fast processing speeds
• Increased capacity for advanced AI and Deep Learning models
• Enhanced edge processing capabilities

What Makes EXA Different?

As AI models continue to evolve, they require greater processing power to deliver higher levels of accuracy and functionality. The EXA engine addresses this need by integrating a dedicated AI accelerator directly into the camera, enabling advanced deep learning models to operate at the edge without compromising performance.

By processing data closer to the source, EXA cameras can make faster decisions, reduce network traffic, and minimize reliance on centralized servers. This allows organizations to deploy more intelligent vehicle recognition systems while simplifying infrastructure requirements.

How EXA Cameras Can Improve Your Operations

Faster Processing Speeds: Process vehicle data faster, enabling near-real-time vehicle identification and response.

Improved Accuracy: Run larger and more advanced AI models that can better identify vehicles and license plates across a wider range of conditions, including dirty, damaged, non-reflective, and angled plates.

Reduced Latency: By minimizing the need to transmit data to external systems for processing, EXA cameras deliver results faster and more efficiently.

Enhanced Edge Computing Capabilities: Perform more complex AI tasks directly within the camera, reducing infrastructure requirements and increasing system resilience.

Future-Ready Engine: With increased AI processing capacity, EXA is designed to support the next generation of vehicle recognition capabilities as AI models continue to evolve.

Ideal Applications

EXA models are well suited for a wide range of vehicle identification applications, including:

• Parking management
• Access control
• Tolling systems
• Smart city deployments
• Traffic monitoring
• Law enforcement applications
• Logistics and fleet operations

Driving the Next Generation of Vehicle Recognition

The introduction of EXA marks another step forward in Survision's mission to deliver innovative vehicle identification solutions that combine accuracy, performance, and scalability.

By bringing greater AI processing power directly into the camera, EXA enables support for increasingly sophisticated AI models, all while reducing infrastructure requirements and maximizing the value of edge computing.

The future of vehicle recognition is at the edge, and EXA is built to power it.

Ready to Learn More About EXA?

Discover how the new EXA models can help improve recognition performance, reduce latency, and unlock more advanced AI capabilities at the edge.

Contact the Survision team to learn more about EXA and discuss the right solution for your vehicle identification application.