Recogni Introduces Pegasus PCIe Card for Autonomous Mobility Applications

The need for autonomous capability in transportation is growing rapidly, and Recogni is at the forefront of providing powerful, purpose-built solutions to meet this demand. Marc Bolitho, CEO of Recogni, emphasizes the company’s commitment to delivering innovative solutions for autonomous mobility across all use cases.

CEO’s commitment to powerful solutions

Marc Bolitho highlights Recogni’s dedication to developing the most powerful solutions for autonomous mobility. The company aims to address the computing and power efficiency barriers specific to this field, enabling seamless integration of autonomous capabilities into various transportation applications.

Integration of Scorpio with Pegasus PCIe card and Recogni’s SDK

Recogni introduces the Scorpio, a purpose-built accelerator which can now be easily integrated into autonomous mobility applications using the new Pegasus PCIe card and Recogni’s comprehensive software development kit (SDK). This integration showcases the multiplatform flexibility and robustness of Recogni’s solutions.

Empowering customers with flexibility and fast deployment

Recogni empowers its customers with system architectural flexibility and fast deployment options in autonomous mobility applications. By leveraging the Pegasus PCIe card and Recogni’s SDK, customers can seamlessly integrate Scorpio into their existing platforms, significantly reducing the time and effort required for implementation.

Description of Pegasus’ capabilities

Pegasus is capable of processing data from up to four 8-megapixel cameras to provide front and surround views. Recogni’s SDK plays a critical role in converting, compiling, profiling, and deploying models, ensuring efficient and accurate processing of data. The combination of Pegasus and the Recogni SDK enables precise perception output for a range of detection purposes.

The Output of Perception for Various Detection Purposes

The perception output of Pegasus includes advanced features such as 3D object detection, vulnerable road user detection, lane detection, free space detection, and traffic light/sign detection. This comprehensive suite of detection capabilities ensures enhanced safety and situational awareness in autonomous mobility applications.

Flexibility for Different Autonomous Mobility Applications

Pegasus offers unparalleled flexibility, making it suitable for various autonomous mobility applications. Whether it’s robotaxis, autonomous trucking, drones, autonomous delivery vehicles, or autonomous aviation, Recogni’s solution can cater to the unique requirements of each use case, thanks to its purpose-built design.

Overcoming compute and power efficiency barriers

Recogni’s system has been specifically designed to overcome computing and power efficiency barriers that are inherent in autonomous mobility. This ensures optimal performance and energy efficiency, enabling seamless integration of autonomous capabilities into transportation systems.

Demonstrating Scorpio’s readiness with Pegasus and Recogni SDK

The seamless integration of Pegasus and the Recogni SDK serves as a testament to the readiness and effectiveness of Recogni’s purpose-built accelerator, Scorpio. By leveraging these tools, customers can confidently implement autonomous capabilities into their applications, enhancing efficiency and safety.

Faster time to market with Pegasus

One of the key advantages of using Pegasus is the accelerated time to market for autonomous mobility applications. By providing a reliable and powerful solution, Recogni enables its customers to deploy autonomous capabilities quickly, gaining a competitive edge in the market.

Recogni’s introduction of the Pegasus PCIe card and its integration with the Recogni SDK showcases the importance of purpose-built technology in advancing the autonomous mobility industry. With its powerful processing capabilities, flexibility, and robustness, Recogni empowers customers to seamlessly integrate autonomous capabilities into various transportation applications, ultimately enhancing safety and efficiency in our increasingly autonomous future.

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