An AI-powered bridge inspection system combines multi-camera vision and rugged edge computing to detect concrete scaling, bolt corrosion, and blocked drainage facilities at highway speeds, improving safety and inspection efficiency.
Register to read more ...
Smart poles integrate edge AI computing, cameras, connectivity, and environmental sensors to support real-time traffic monitoring, public safety, and urban data analysis while enabling smarter, more connected city infrastructure.
Register to read more ...
Explore how GPU-accelerated computing enables autonomous driving from Level 2 to Level 4, supporting real-time perception, sensor processing, and vehicle control across transportation, industrial, and delivery applications.
Register to read more ...
AI-powered rail surface inspection combines high-speed cameras, edge AI, and rugged embedded computing to detect cracks, scratches, and other rail defects in real time, improving railway safety while reducing manual inspection and maintenance costs...
Register to read more ...
Neousys edge AI platforms process roadside data locally to handle high-volume, real-time traffic scenarios. By enabling low-latency analytics, they improve safety, optimize traffic flow, and support intelligent urban infrastructure...
Register to read more ...
Deployed in port terminals, Neousys POC series enables real-time vehicle identification and automated access control, improving throughput, security, and 24/7 operational efficiency under extreme weather conditions...
Register to read more ...
Yard management is crucial in manufacturing for optimizing logistics and expediting deliveries. It involves efficiently managing the movement, storage, and tracking of vehicles, trailers, and containers within the manufacturing facility's yard...
Read more ...
A sensor-based system prevents accidents by detecting over-height vehicles before tunnels, triggering instant driver warnings. Neousys' rugged NRU edge AI computer powers the roadside unit, providing reliable, wide-temp operation and 5G connectivity...
Read more ...
A Level 4 self-driving shuttle bus operates at 70 km/h in real traffic, relying on redundant GNSS, LiDAR, and camera data. Neousys' rugged Nuvo GC and VTC computers provide the high-performance GPU AI and V2X connectivity for real-time sensor fusion and control.
Read more ...
A road inspection vehicle uses Photoneo's MotionCam-3D with Parallel Structured Light (PSL) to capture high-res 3D pavement data at driving speeds. Neousys' rugged Nuvo computer processes this data in real-time despite constant vehicle vibration and power fluctuations.
Read more ...
A garbage truck uses OpenVINO™-enhanced machine vision and a robotic arm to automate bin collection, reducing manpower and improving safety. Neousys' E-Mark certified POC-751VTC processes the AI inference despite the truck's constant vibration and tough environment.
Read more ...
Discover how Automated Aircraft Boarding Bridges enhance airport efficiency. Using machine vision for precise aircraft door alignment, these systems are powered by Neousys' rugged embedded edge AI computers, operating reliably in harsh conditions to speed up boarding.
Read more ...