Vicharak develops the Vaaman edge computing board, which integrates a six-core ARM CPU with a reconfigurable FPGA to enhance parallel processing capabilities for applications like object classification and cryptographic algorithms. This technology addresses the limitations of traditional computing by providing a flexible hardware platform that accelerates performance in demanding edge AI and machine vision scenarios.
Funding
$119.9K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional computing architectures face limitations in handling the increasing demands of parallel processing for edge AI, machine vision, and cryptographic applications. These architectures often struggle to provide the flexibility and acceleration needed for real-time performance in demanding edge-computing scenarios.
Solution
Vicharak's Vaaman is an edge computing board that combines a six-core ARM CPU with a reconfigurable FPGA, offering a flexible hardware platform optimized for parallel computing and hardware acceleration. The Vaaman board addresses the limitations of conventional CPUs by enabling developers to map algorithms directly onto the FPGA fabric, freeing up the CPU for other tasks and improving overall performance. This approach allows for dynamic reconfiguration of hardware to meet the specific needs of software, providing enhanced speed and efficiency for edge AI, machine vision, and cryptographic applications. The board's comprehensive range of interfaces, including PCI, HDMI, USB, MIPI, audio, Ethernet, Wi-Fi, Bluetooth, BLE, LVDS, and GPIOs, further extends its versatility.
Target Audience
The primary target audience includes developers and engineers working on edge AI, machine vision, and other computationally intensive applications who require a flexible and high-performance computing platform.
Features
- Six-core ARM CPU paired with an FPGA featuring 112,128 logic cells
- High-speed 300-MBps link between FPGA and CPU for efficient data transfer
- FPGA-based hardware acceleration for parallel processing of algorithms
- Support for object classification and detection, cryptographic algorithms, edge machine vision, and video/image decoders
- Comprehensive range of interfaces: PCI, HDMI, USB3.0 Type-C, USB3.0, USB2.0, MIPI, audio, Ethernet, Wi-Fi, Bluetooth, BLE, LVDS, and GPIOs
- Storage options: 16GB/32GB/128GB High-Speed eMMC, MicroSD (TF) Card Slot, and PCIE for extended SSD
- 2GB LPDDR4-3200 SDRAM
- HDMI 2.0 and micro HDMI 2.0 support up to 4k@60Hz
- MIPI CSI and DSI 2 lanes via FPC connector
- DisplayPort 1.2 over Type-C
- 10/100/1000Mbps Ethernet (Realtek RTL8211E)