The FPGA, optimize hardware resources
FPGAs are increasingly used in video processing for their ability to improve real-time performance while optimizing available hardware resources.
FPGAs are essential for high-speed, low-latency, low-power video processing. Deverne offers a portfolio of processing IPs with FPGA platforms adapted to low power or high intensive computing constraints, in partnership with Xilinx (AMD), Lattice and Efinix. Description methods include VHDL, Verilog, SystemVerilog, with mastery of high-level HLS description. Discover our open source creations and access our training portal on our GitHub.
Embedded intelligence, processing information autonomously
Embedded artificial intelligence allows connected objects to operate autonomously. This reduces costs (storage and processing) and increases the speed of information processing.
The "Edge Computing" data processing optimization method consists of processing data as close as possible to its source, offering significant advantages such as reduction of the volume of data passing through, lower transmission costs, increased security and better scalability for deployment. Technological advances and cost control make it easier for small and medium-sized businesses to invest in an information network, which used to be expensive. In the field of vision systems, the TinyML approach opposes the increasing complexity of neural network models, offering levers to lighten the models and use them in embedded environments. Our open source contribution offers artificial intelligence applications that can be integrated onto embedded electronic cards, which can be viewed on our GitHub.
