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Vision Systems
FPGA is enabling innovative leaps in the vision systems industry, with everything from facial recognition to 3D map renders. Embedded chips excel in parallel processing, and they are incredibly flexible, making them ideal for many real-time applications.
With the ability to synchronize within the space of a nanosecond, accelerate neural network operations, and customize for specific requirements, the possibilities are within reach.
Vision Systems Applications
Adept at accelerating the processing of images and reducing latency, FPGA can tighten the real-time experience and greatly enhance AR and VR systems.
FPGA aids in quick processing for motion detection, tracking, and facial recognition, often from multiple cameras to make security and surveillance systems safer and more effective.
Depth-sensing cameras and the processing of their images both benefit from embedded-chip technology, helping to create 3D maps and images.
Face detection, feature extraction, and database matching all require the quick processing that is characteristic of FPGAs.
Solve your problems quickly and efficiently with our highly-integrated FPGA & SoC modules/System-on-Modules (SOM), evaluation boards, and FPGA-optimized IP Cores.
If you have a unique vision systems problem, you can get a custom solution via our Innovation Studio. From concept to implementation, our Design Services team will be with you every step of the way.
Tell us a little about your application or challenge, and we’ll point you to the best solution from our product catalogue. We can also help you connect with our Design Services team from our Innovation Studio to start on a custom solution. From mitigating risk to reducing time to market and more, we deal with problems and setbacks and have the know-how to overcome obstacles so our clients don’t have to.
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