Custom camera platforms
We have made a name on building extraordinary camera systems for drones, robots, medical devices, autonomous cars etc., thanks to our deep expertise of all things related to machine vision: from working with pre-release edge computing FPGA and GPGPU modules to developing customizable BSPs, drivers and edge AI applications. See how our platforms can be used in your project.
Powerful edge computing
Antmicro works with bleeding edge image processing technologies, employing the latest, smartest and most powerful edge computing platforms. Thanks to our close partnerships, we are often among the very first to have access to pre-release silicon and hardware. Coupled with our early open source board designs, we are happy to equip our customers with knowledge and market advantage to quickly proceed with more sophisticated commercial projects.
Expandable vision platforms
Dedicated carrier board for NVIDIA’s most powerful edge platform, Jetson Xavier AGX. Features fully integrated Allied Vision’s modular Alvium MIPI CSI-2 cameras. Possible to interface with up to 8 cameras, intended for high-end edge AI applications. Customization, software and AI development services available.
Industrial 3D stereovision camera system
MOREA high-speed stereovision camera system for industrial use cases. Hybrid FPGA+GPGPU edge computing platform with Xilinx UltraScale+ and NVIDIA Jetson TX2 for AI-supported 3D vision and tracking in real-time. Supports a dedicated stereo camera module with liquid lenses in an industrial-grade casing. The modular and scalable design allows for complex data fusion and integration with larger industrial systems.
Antmicro baseboards for NVIDIA® Jetson platforms provide very small footprint carrier board designs compatible with Jetson modules, enabling up to 4 MIPI CSI-2 cameras. They support Allied Vision cameras and Antmicro’s camera accessories, with open source hardware designs offered as part of Antmicro’s product development services.
Open Zynq Video Board
MOREA video-oriented carrier board for Xilinx Zynq or FPGA modules with HDMI, Ethernet, and SD card support. Features a pair of USB 2.0 host ports for external peripherals and a set of PMOD connectors allowing to connect external sensors and actuators. The board allows interfacing up to two 2-lane MIPI CSI-2 cameras. Featuring hard dual-core ARM Cortex-A9 SoC or soft RISC-V SoC running Zephyr/Linux. Both hard and soft processing system can be simulated in Renode/Verilator. Open source HDMI and MIPI CSI-2 IP. Full open source hardware, released on GitHub.
Open Source Coral baseboard
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The Coral Baseboard is an open-source carrier board designed by Antmicro for the Coral SoM, a low-cost AI platform featuring Google’s Edge TPU ML inference ASIC and NXP’s i.MX8X SoC. A great fit for embedded machine learning applications that need to execute state-of-the-art vision models in a power-efficient manner, the baseboard can be interfaced with our camera boards and accessories and be customized by Antmicro for specific AI projects. Coral's availability in other variants such as standalone chip and PCIe/USB modules make it a compelling, scalable choice for intelligent devices we help our customers build.
HW Design
interfacing with custom camera sensors and modules, 3D vision systems, multi-camera systems
SW Design
FPGA IP for sensor interfacing, camera drivers, data fusion, BSPs
Edge AI
classic machine learning and deep learning algorithms, parallel processing using GPUs, FPGAs and dedicated ASICs
