Algolux Inc., a provider of machine learning optimization platforms for autonomous vision, has won the award for Most Exciting Startup Company at the AutoSens Awards 2017, which highlight innovations within theautomotive imaging sector.
The awards were held as part of the international AutoSens vehicle perception conference and exhibition, and were judged by an expert panel drawn from OEMs, Tier 1s and Tier 2s, industry organizations, and academia. Sponsored by NXP, the Most Exciting Startup Category, was awarded to Algolux for its patented machine learning technologies which—according to the company—address the complexity of optimizing imaging and vision systems while improving the costs, time-to-market, and expertise challenges faced by product development teams.
Rob Stead, Managing Director of Sense Media Group, Conference Director of AutoSens commented: "One of the greatest challenges in developing vision systems for automotive is ensuring the best possible computer vision robustness and image quality for improved vehicle safety. The Algolux solution, and a key reason for this award recognizing their exciting machine learning innovations, addresses that challenge through the novel use of new optimization and deep learning methods," he said.
He continued, "We'll watch their progress with interest as the company grows and their reputation spreads, but it gives me great pleasure to highlight the work of a small, young and exciting new company."
Allan Benchetrit, CEO of Algolux, also commented: "Algolux is honored to be recognized with this AutoSens Award by experts in the automotive community. It serves as an excellent validation of our approach to helping companies optimize their vision systems," he said. "The AutoSens conferences and this new award help shine a light on the innovations that startups are bringing to this sector. In turn, this will enable a much richer engagement with the leaders in the automotive industry."