Acceleration of Algorithms:

• Vaaman: Empowering Edge AI & ML Innovations

  Vaaman stands at the forefront of Edge AI and ML acceleration, providing a dynamic platform for groundbreaking applications. Vicharak is committed to delivering a project named 'Gati' towards custom end-to-end solutions for Vaaman, enhancing its capabilities with accelerated support for advanced algorithms. Some key applications include:

  • Object Classification: Vaaman excels in object classification tasks, leveraging FPGA parallel processing to swiftly categorize and identify objects in real-time scenarios.
  • Object Detections: Accelerated object detection algorithms enable Vaaman to detect and locate objects with remarkable precision, enhancing applications in security, surveillance, and automation.
  • Hand Gesture Detections: Vaaman's FPGA acceleration supports the rapid and accurate detection of hand gestures, opening doors to intuitive human-machine interactions and gesture-based controls.
  • Human Presence & Counters Detectors: With Vaaman, real-time detection of human presence and accurate people counting become seamless, facilitating applications in retail analytics, building management, and more.
  • Edge Machine Vision Accelerations: Vaaman transforms machine vision at the edge, accelerating the processing of visual data for applications like quality control, defect detection, and industrial automation.
  • Robotics Vision: Vaaman's FPGA capabilities contribute to the advancement of robotics vision, enhancing the perception and decision-making capabilities of robots for a wide range of tasks.

  By directly mapping these applications onto FPGAs, Vaaman optimizes resource utilization, leaving the CPU free to handle other critical tasks. This not only ensures efficient processing but also results in improved Frames Per Second (FPS), a crucial factor in real-time applications. Vicharak's commitment to developing R-CNN and potential YoloV7 acceleration support further solidifies Vaaman's position as a revolutionary solution for Edge AI and ML advancements. With Vaaman, the future of accelerated and responsive Edge AI applications is here.
  

• Cryptographic Algorithms: Swift processing of cryptographic algorithms due to Vaaman's ability to parallelize repetitive operations efficiently. FPGAs can always outperforms GPUs as well in Cryptographic Accelerations. We also have proven application where Vaaman outperforms 400$ NVIDIA GPUs, for SHA256 based algorithms.
• Video and Image Decoders: Real-time video and image processing benefit from Vaaman's parallel task handling and high-speed performance with consistent latency. Since it's a reconfigurable in nature we can have more efficient encoders and decoders available apart from standard ones.

Protocol Acceleration:

• TCP/IP & UDP: Vaaman efficiently executes communication protocols, enhancing data throughput and latency by offloading the workload from the CPU or directly processing into FPGAs, we also can run multiple parallel instances in FPGA for same protocol to maximise the throughput as well.
• VoIP Codec Acceleration: Optimize VoIP codec processing to enhance voice quality and reduce bandwidth usage, ensuring smooth and high-quality voice communication over the internet.
• Real-Time Packet Prioritization: Implement real-time packet prioritization to ensure that VoIP packets receive preferential treatment, reducing latency and ensuring a seamless communication experience.
• Dynamic Jitter Buffer Management: Accelerate the management of dynamic jitter buffers, ensuring a consistent and jitter-free audio experience during VoIP calls.
• Custom Network Protocols: Vaaman's FPGA capabilities enable the efficient acceleration of custom network protocols, tailoring communication solutions to specific industry requirements with unmatched flexibility.
• Security Protocols Optimization: Accelerate the processing of security protocols such as SSL/TLS at the hardware level, enhancing system security...