With Neousys Nuvo rugged embedded systems, developers can create cost-effective autonomous vehicles that process imagery data with CPUs instead of GPUs. These systems offer a wide range of connectivity options and rugged features, making them an ideal choice for harsh environments.
The Neousys Nuvo GC series is a compact and expandable mobile x-ray solution with powerful AI inference processing and up to 128GB ECC memory support. It features cooling technology for a wide temperature range of -25°C to 60°C without performance degradation.
Neousys NRU series edge computers were chosen by a customer for mounting in vehicles and operating in various lighting conditions. Powered by NVIDIA Jetson AGX Xavier, it supports GMSL cameras with waterproof characteristics, high dynamic range, and wide temperature operation capabilities...
Neousys embedded systems use AI and laser technology to detect and burn weeds on farms. MIL-STD-810G certified for shock and vibration, wide temperature range, and IP67 rated for water and dustproof. Ideal for demanding agriculture environments.
Neousys GPU Computing supports long-haul trucking by improving logistics and reducing safety risks. It helps streamline operations, optimize routes, and enhance driver efficiency, making this essential industry more reliable and sustainable.
ALPR is a technology used by law enforcement to find stolen or suspicious vehicles. Cameras on police vehicles and bodycams, coupled with recognition software, read multiple license plates in one view.
自動化瓶裝飲料液位和瓶蓋缺陷檢測系統可以實現每分鐘400個瓶子的檢測效率。檢測的缺陷包括:液位過高或過低,瓶蓋未正確擰緊,標籤列印錯誤和瓶中液體有雜質/沉澱物等。通過資料的無線傳輸,這些有缺陷的瓶裝飲料將會在最終打包運輸前被剔除。
Neousys NRU series edge AI GPU platform that features machine vision AI inference capabilities and assisted-lighting and cameras for medical-grade mask manufacturing. The platform quickly learns and scans for faults such as stains, rips, and faulty strap attachment, increasing daily production volume.
列車車廂可能長達幾百米,試圖在列車全速前進過程中制動將會造成很大的危險。列車遙測系統通過對列車的即時監測、資料記錄和持續的設備間通信,降低意外發生時列車所面臨的危險。
自動駕駛系統由幾個關鍵技術模組構成,如感知次系統自主技術、Lidar(光學雷達)、攝影機、衛星定位,來監控周遭環境以及判斷交通燈號。而其自主研發的「S3還周環境感知次系統」(Surrounding Sensing Subsystem),可以經由即時事件推理,做出下一步駕駛決策...
