Cyngn Inc. has announced progress of its proprietary computer vision (CV) technology for industrial autonomous machines, built on NVIDIA accelerated computing. This announcement showcases the cutting-edge capabilities of Cyngn’s DriveMod solutions, highlighting how NVIDIA hardware and CUDA acceleration libraries have enabled Cyngn to develop differentiated self-driving features with artificial intelligence (AI), CV, and localization and mapping.
The DriveMod system has been successfully deployed on material handling vehicles from established manufacturers like BYD, Motrec, and Columbia Vehicle Group, catering to a diverse range of clients from private manufacturing and distribution companies to Fortune 100s like John Deere.
In collaboration with Arauco, which pre-ordered 100 DriveMod Forklifts last summer, Cyngn leveraged NVIDIA technologies to introduce sophisticated features to advance the capabilities of autonomous machines in industrial settings. The DriveMod Forklift showcases exciting capabilities in computer vision, including enumeration of the number of pallets in a tall stack and detection of non-standard pallet pockets.
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“Cyngn has been a part of the NVIDIA Inception program since our early days working on AI technology,” said Cyngn’s Chairman and Chief Executive Officer, Lior Tal. “Seeing years of collaboration evolve from research and development to deploying unique product features for end customers is not only exciting, but it is also a testament to the power of NVIDIA’s cutting-edge technologies.”
Cyngn develops and deploys scalable, differentiated autonomous vehicle technology for industrial organizations. Cyngn’s self-driving solutions allow existing workforces to increase productivity and efficiency. The Company addresses significant challenges facing industrial organizations today, such as labor shortages, costly safety incidents, and increased consumer demand for eCommerce.
Cyngn’s DriveMod Kit can be installed on new industrial vehicles at end of line or via retrofit, empowering customers to seamlessly adopt self-driving technology into their operations without high upfront costs or the need to completely replace existing vehicle investments.
SOURCE: PRNewswire
