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.

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.

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...

Sharkeye drones enhance beach safety with AI-powered shark detection via high-res cameras. Neousys' ultra-light FLYC-300 (NVIDIA Jetson) processes real-time video analytics, GMSL2/5G connectivity, and flight controller interaction in harsh coastal environments...

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...

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.

The Neousys computer plays a pivotal role in a machine vision parking system. It processes visual data to differentiate between electric vehicles and internal combustion engine vehicles, aiding accurate parking enforcement...

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 IGT series receives data from pressure sensors, traffic recording, info-system display, weather, speed, etc...

By deploying AMR cleaning vehicles, only minimum time and manpower are required to monitor multiple vehicles that can complete cleaning tasks that would otherwise take a team of 10+ members a few hours to complete...

Systems using machine vision to identify license plates when entering/ exiting the parking lot can be widely seen. The fully automated system rectifies human labor needs, parking meter calculation error and the possible loss of token...