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Edge-AI Solutions for Real-World Vision Systems

01

Surveillance

Deploy on-device analytics for ANPR, intrusion, crowd density, and behavior detection with low power, low latency SoC performance—no cloud dependency, enhanced privacy, and scalable city-wide rollouts.
02

Drones & Robotics

Low-latency perception for SLAM, obstacle avoidance, path planning, and visual navigation—optimized for longer flight time, reliable autonomy, and real-time decision making.
03

Automobile

On-device perception for DMS/OMS, surround view, parking assist, and telematics. Robust performance in automotive environments with efficient power, thermal, and safety considerations.
04

Fleet Management

Enhance logistics with on-device AI for driver monitoring, real-time telematics, and route optimization, ensuring safety and efficiency for vehicle fleets.
05

Retail

Transform the in-store experience with AI-powered analytics for foot traffic, shelf monitoring, and checkout-free solutions, improving efficiency and customer engagement at the edge.
06

Industrial Automation

High-accuracy inspection and QA with defect detection, OCR, pose estimation, and multi-camera fusion— built for factories, logistics, and smart manufacturing at the edge.

Our Working Process

one
Understand

Define use-case, success KPIs, sensor stack, and constraints (power, latency, cost, safety). Collect sample data and map deployment environments for accurate edge performance.

Two
Design

Architect the vision pipeline: model selection & quantization plan, memory/throughput budgets, and reference board mapping using Netra Semi SDKs and toolchains.

Three
Development

Train/fine-tune models, optimize kernels, integrate sensors, and implement firmware. Compile for target SoC, accelerate with our NPU, and validate real-time performance.

Four
Testing

HIL & field tests, power/thermal profiling, robustness & safety checks, and CI automation. Pilot deployments, performance tuning, and production handover with documentation.

Interested to Partner