Intelligent Security Inspection Patrol robot
VIU Tech’s intelligent security inspection system uses quadruped robot dogs, wheel-legged robot dogs, drones, and sensing radar to upgrade traditional factory security. With autonomous patrol, real-time monitoring, and smart detection, the system improves safety, reduces labor needs, and supports 24/7 operations. Designed for factories, campuses, tunnels, and energy sites, it provides a fast, reliable, and modern security solution.
Quadruped robot
It can autonomously patrol complex industrial environments, monitor abnormalities in real time, and is equipped with high-definition imaging and intelligent analysis capabilities.
UAV Drone
Provides an aerial perspective for rapid inspection of large areas, enabling timely detection of potential safety hazards such as perimeter intrusions, fire, or smoke.
Rayvision Fusion System
Accurately detects moving objects, providing all-weather, full-coverage security monitoring to eliminate blind spots of traditional surveillance systems.
Phased array radar
Enables detection, identification, and tracking of low, slow, and small suspicious targets within a 10 km range, achieving 360° full coverage with no blind spots in the monitored area.
System Architecture of intelligent robot inspection
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Autonomous Inspection
It can perform autonomous patrols according to preset inspection routes and time intervals without human intervention.
High-efficiency battery life
Supports automatic fast charging (charging doghouse) and manual battery replacement; dual-mode power supply achieves efficient battery life and flexibly meets the needs of various scenarios.
Real-time monitoring
The camera can perform high-definition video surveillance and achieve functions such as facial recognition and behavior analysis.
Data Recording and Analysis
During the inspection process, the system records all image and video information. Analysis of this data can uncover potential security issues and trends, providing strong support for security decision-making.
Abnormal situation handling
Once an anomaly is detected, such as a fire or intrusion, the robot will immediately issue an alarm and transmit detailed information to the monitoring center.
Multi-system collaboration
In large-scale security scenarios, drones can work collaboratively, sharing information and cooperating on tasks to improve inspection efficiency and coverage, achieving comprehensive security monitoring.
System value
Cost reduction and efficiency enhancement
Reduce manpower reliance, lower operational costs, and enhance response speed and accuracy to ensure personnel, asset, and business continuity within the facility.
Multi-layered protection
Ground (quadruped robots), low-altitude (drones), and perimeter (radar-vision systems) work together to build an integrated “air-ground security network.”
Intelligent decision making
Leveraging AI and big data, it enables risk prediction, incident tracing, and resource optimization, transforming safety management from passive response to proactive prevention.
Route Inspection Solution
Automatic Obstacle Avoidance
Equipped with LiDAR and vision sensors, it detects obstacles in real time, autonomously adjusts its path along preset routes, and completes full inspection tasks with precise obstacle avoidance.
Rail Crossing
Equipped with multiple sensors, it perceives the rail environment in real time, dynamically adjusts its gait to step over sleepers and obstacles, and accurately completes inspection tasks along the preset path.
Intersection Passage
It senses the positions and movements of pedestrians and vehicles in real time, adjusts its route and speed through path planning and decision algorithms, and pauses when necessary to avoid collisions.
Path Endpoint
Using LiDAR and vision sensors for real-time environmental modeling, it dynamically plans return paths with SLAM algorithms, adjusts drive and gait modes, and smoothly performs 180° turns or side detours to maintain continuous inspection.
System Functional Logical Architecture
System Functional Logical Architecture
Hierarchical Decision-Making Mechanism:
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Upper Layer (Task Level): Performs global path adjustment based on the task queue.
Example: A sudden high-priority task triggers global re-planning.
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Lower Layer (Motion Level): Handles local obstacle avoidance based on real-time perception.
Algorithm: Improved Dynamic Window Approach (DWA) combined with quadruped kinematic constraints.
Trigger typetype | Judgment Logic | Response Action |
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Task priority change | The platform issued an emergency task instruction | Insert new path node |
Static obstacles | Sensor detects insurmountable obstacle for >2 seconds | Switch to backup topology edge |
Terrain mutation | Foot force feedback fluctuation exceeds threshold + visual confirmation | Activate Climbing/Detour Strategy |
Low battery | Remaining battery level <20% | Switch to the shortest return route |
System Equipment Communication Solution
Robots Platform
Extended Modular Payload Equipment
Contact
Contact our expert team for custom solutions.
Tianjin, China
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