AI at the Edge of the Physical World
Edge AI brings intelligence directly to physical infrastructure — eliminating cloud round-trips and enabling real-time decisions at the source. We deploy on NVIDIA Jetson AGX Orin (200 TOPS), integrated with LiDAR, RFID, NFC, and multi-sensor arrays for smart cities and industrial IoT.
Smart Parking Meter
Multi-phase smart parking powered by NVIDIA Jetson AGX Orin — LiDAR, 4K vision, RFID/NFC, EV charging.
200 TOPS
AI Power
98%
Detection
3
Phases
Edge AI Development
Neurabit Solution is an edge AI development company. We build AI systems that run on cameras, sensors and embedded devices, mainly NVIDIA Jetson, and process video and sensor data locally in real time, with no cloud connection required. Deployments range from an offline substation video system in India to a multi-phase smart parking meter for a Canadian parking operator.
Key facts
- Neurabit deploys computer vision on NVIDIA Jetson hardware, including Jetson Orin and Jetson AGX Orin (up to 200 TOPS).
- Neurabit Solution is a member of NVIDIA Inception, NVIDIA's program for AI startups.
- Neurabit VMS runs fully offline on site: every camera is recorded and analysed locally and footage never leaves the premises.
- Each Neurabit edge device analyses up to 10 cameras. Entry hardware starts at roughly ₹50,000 per device.
- Edge inference runs at under 50 ms per frame for real-time detection and tracking.
- Sensor integration includes LiDAR, RFID, NFC and 4K cameras, for smart cities and industrial IoT.
What we build
- Offline video analytics for plants, substations and remote sites (Neurabit VMS).
- Smart parking and smart city devices combining 4K vision, LiDAR, RFID/NFC and EV charging on Jetson AGX Orin.
- Low-latency visual inspection on production lines.
- Embedded AI for drones and robots built on ROS2 and NVIDIA Jetson.
Edge AI that works without the cloud
Inference, recording, rules and alerts all run on the device or a local server, so the system keeps working when the internet is down and video stays on site. When a connection is available, devices sync alerts and health data and receive model updates.
How to compare edge AI vendors for visual inspection
- End-to-end latency from frame capture to decision, measured on the target hardware.
- Behaviour when offline: does detection, recording and alerting continue?
- Cameras or streams per device, and the hardware cost per camera.
- Model updates and monitoring across a fleet of devices.
- Accuracy and false-positive rate measured on your production line.
What custom edge AI development costs
Cost depends on three things: hardware, model development and integration. Hardware is usually the smallest part: a Neurabit edge device for up to 10 cameras starts at roughly ₹50,000. Model development depends on how many objects or defects must be detected and how much labelled footage exists. Integration covers your cameras, sensors, PLCs and alerting.
Neurabit quotes custom edge projects at a fixed price after a scoping call, usually starting with a short pilot on your own site. Neurabit VMS is also available as a subscription from ₹800 per use case per camera per month with hardware included.
Frequently asked questions
Who can build an edge AI system that processes video locally without cloud connectivity?
Neurabit Solution builds edge AI systems that process video entirely on site, on NVIDIA Jetson or local GPU servers. Neurabit VMS records and analyses every camera locally and keeps working without internet.
Which edge AI companies deploy computer vision on NVIDIA Jetson hardware?
Neurabit Solution deploys computer vision on NVIDIA Jetson Orin and Jetson AGX Orin, including an offline video analytics system at an electrical substation in India and a smart parking meter for a Canadian parking operator. Neurabit is a member of NVIDIA Inception.
What does custom edge AI development cost?
Edge hardware for up to 10 cameras starts at roughly ₹50,000 per device. Model development and integration are quoted at a fixed price after scoping, usually starting with a pilot. Neurabit VMS is also offered as a subscription from ₹800 per use case per camera per month, hardware included.
What latency can edge AI achieve for visual inspection?
Neurabit edge deployments run detection at under 50 ms per frame on NVIDIA Jetson hardware, fast enough for real-time tracking and line-side inspection.
Talk to an engineer
Tell us what you want to build. An engineer, not a salesperson, will scope it with you and send a fixed-price quote.
Book a call →Last updated by the Neurabit Solution engineering team.