expert in AIoT system solution
AI Camera · Edge Vision

Defining the Next Generation of
Smart Vision Infrastructure

Integrating dedicated ASIC, Novatek, Intel, and other neural-network processing architectures, deep-learning inference is deployed directly at the edge for low-latency, highly stable real-time AI vision analytics. From traffic incident recognition and site safety monitoring to environmental anomaly detection, our modular AI Camera architecture creates scalable, governable, and long-running smart vision solutions.

AI Camera Monitoring
Real-time camera AI analysis in progress
People Behavior analytics, people flow statistics, and safety protection
Vehicles License plate recognition, event detection, and traffic governance
Environment Smoke/flame detection, abnormal intrusion, and site monitoring

Industry-Grade · AI Camera Series

The full series supports 2MP / 5MP / 8MP video resolutions. Based on different deployment environments and application needs,it provides complete modular Edge AI camera options covering transportation, public spaces, industrial sites, environmental monitoring, and other smart applications.

MIT · CNS16120
Bullet AI Camera

Bullet AI Camera

Designed for outdoor long-range views and high stability, suitable for real-time AI recognition on roads, campus perimeters, and major traffic corridors.

  • Supports 8MP / 5MP / 2MP high-resolution video
  • IP67 industrial-grade protection for stable all-weather operation
  • Built-in AI object and event recognition models
Sensor Novatek / Intel
Lens 2.8–12mm / /3.6-11mm / 5-50mm
FPS 30FPS / 60FPS
Dome AI Camera

Dome AI Camera

Discreet installation × indoor public space monitoring

  • IK10 vandal-resistant and impact-resistant design
  • Infrared night vision assistance for all-day visibility
  • Built-in real-time AI detection and analytics
Sensor Novatek
Lens 2.8mm / 3.6mm
FPS 30FPS / 60FPS
Dual-Lens AI Camera

Dual-Lens AI Camera

Dual-lens synchronized analytics improves spatial depth judgment

  • Distance and depth calculation capability
  • Multi-target tracking and high-precision event analytics
  • Spatial perception × depth event analytics
Sensor Novatek
Lens 2.8-12mm/5-50mm
FPS 30FPS
Thermal AI Camera

Thermal AI Camera

All-weather monitoring × high-risk event early warning

  • Continuous temperature monitoring and real-time anomaly recognition
  • Visible-light + thermal image fusion
  • Real-time early warning and notification for flame and high-temperature events
Thermal Sensor 640×480 / 256x192
Lens 13mm / 25mm
FPS 30FPS

AI Detection & RecognitionSystem

Designed around modularity, each recognition capability can be independently deployed and flexibly expanded to meet different site needs.

Vehicle Feature Detection
ITS · VF

Vehicle Feature Detection

Detects vehicle types, colors, and features in real time to support traffic analysis and case tracking.

Vehicle Types Vehicle Colors
Traffic Flow Detection System
ITS · VDS

Traffic Flow Detection System

Provides traffic volume, speed, and congestion analytics to support traffic decision optimization.

Traffic Statistics Congestion Analytics
Incident Detection Analytics
ITS · IID

Incident Detection Analytics

AI detects illegal vehicles, wrong-way driving, fallen objects, and other incidents with real-time alerts.

Real-Time Alerts Event Correlation
Smoke and Flame Detection
ITS · FIRE

Smoke and Flame Detection

Rapidly detects fire risks through visible and thermal image analytics.

Flame Recognition High-Temperature Alert

AI Detection & RecognitionCapability Matrix Systematic Analysis

Centered on high-performance Edge AI and a modular AI model architecture, video signals generated by people, vehicles, and environments are transformed in real time into quantifiable, traceable, and actionable event intelligence, supporting long-term operations for city governance, public safety, and smart sites.

Human Feature Analytics System

Analyzes human features, behavior patterns, and crowding status in real time, transforming raw video into decision information for risk alerts, flow optimization, and safety management in public spaces, transit nodes, venues, and large events.

Recognition Accuracy 98.5%
People Flow Statistics
Behavior Trajectory
Clothing Color
Suspicious Behavior
Fall Event
Crowd Gathering
Behavior Tracking
Dwell Analysis