We can target embedded designs found in modern AR/VR headsets, cameras, vehicles, and phones. Improve your product by leveraging our experience in creating vision libraries for power-efficient embedded devices. We’ve developed for devices with a variety of requirements, including stereo-vision, low-latency feature detection, and more.
Mobile devices and handsets equipped with cameras represent the largest market for image and vision processing. We’ve worked with device manufacturers, app developers, and semiconductor vendors to improve the capability of their devices by utilizing the CPU, GPU, DSP, and other processing elements available in modern SoCs.
For ultra-high quality and intensive applications, GPU or FPGA enabled workstations and cloud servers can provide the computational power necessary to handle large scale tasks and video processing. We can help design and port your algorithms to fully utilize the power of modern GPUs, FPGAs and server-class hardware.