Intelligent Remote-Inspection Robot

Business Pain Points
The three fundamental problems that remote-driving must solve

Ultra-low latency demands for audio/video + signaling

In remote-driving scenarios, a vehicle moving at a medium-low speed of 30 km/h will travel almost 2 m if the end-to-end delay (video capture → operator display → command generation → vehicle actuation) exceeds 200 ms, seriously compromising safety.

Low tolerance to stutter

Any video freeze desynchronizes vehicle state from the picture, leaving the remote operator unable to judge the surroundings accurately.

Harsh and variable network

While the vehicle moves, the distance to base stations changes continuously, causing large network fluctuations, jitter and packet loss; hand-over points between cells can even create coverage holes. Overall, the network environment in parallel-driving is far more complex than in most other use cases.

Product Advantages

Remote Control & Real-Time Communication

Equipped with a remote-control system, operators can drive the robot from a distance, receive inspection data in real time, and perform remote diagnostics and decision-making.

AI & Machine Learning

Powered by AI algorithms, the robot analyzes on-site images and sensor data to identify potential safety hazards and quality issues in real time.

Sensor Fusion

Equipped with LiDAR, infrared, ultrasound and other sensors, the robot fuses their data to obtain a full-spectrum view of the construction site, boosting inspection reliability.

Data Analytics for Decision-Making

After gathering massive real-time datasets, the inspection robot uploads them to the cloud platform for storage and advanced analytics, providing actionable insights to support managerial decisions.

Application Scenarios

Multi-Scenario • Customizable • One-Stop

Industrial Monitoring

-Equipment Inspection
-Quality Control

Hazardous Environments

-Explosion-Proof Zones
-Disaster Reconnaissance

Smart City

-Urban Cleaning
-Security Patrol

SuhangCloud

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