Vaaman stands at the forefront of Edge AI and ML acceleration, providing a dynamic platform for groundbreaking applications. We are currently developing a custom platform called “Gati,” which will enable custom end-to-end solutions, and enable convolutional neural networks (CNN) exclusively on Vaaman. By mapping these advanced algorithms to the FPGA, the CPU is left free to handle other critical tasks, which improves overall performance.
- Object Classification and Detection: Vaaman excels at object classification tasks, leveraging FPGA parallel processing to swiftly categorize and identify objects in real time.
- Human Presence and Gesture Detection: Vaaman is capable of detecting human presence in real time and accurately counting people to facilitate applications in retail analytics, building management, and more. Gesture detection can open the door to intuitive human-machine interaction.
- Edge Machine Vision: Vaaman transforms machine vision at the edge, accelerating the processing of visual data for applications like quality control, defect detection, and industrial automation.
- Cryptographic Algorithms: Vaaman processes advanced cryptographic algorithms efficiently thanks to the parallel nature of Vaaman. FPGAs frequently outperform GPUs when it comes to cryptographic acceleration.
- Video and Image Decoders: Real-time video and image processing benefit from Vaaman’s parallel task handling and high-speed performance with consistent latency. Vaaman’s reconfigurability allows us to deploy more efficient encoders and decoders.
