3D Vision for Robotics & Industrial Automation

High-precision depth sensing enabling AGV navigation, pallet recognition and obstacle avoidance.

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Our Industrial Automation Solution

X-Dynamics leverages high-precision 3D iToF sensing technology and advanced perception algorithms to provide intelligent vision solutions for robotics, AGV navigation, industrial automation and smart manufacturing applications.

AGV & Robot Obstacle Detection and Avoidance

3D vision-based navigation systems for autonomous robots and forklifts, enabling accurate obstacle detection, path planning and safe operation in dynamic industrial environments.

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AGV Pallet Recognition

3D sensing technology enables accurate recognition of pallets with different materials, shapes and positions, helping AGVs achieve precise loading, unloading and intelligent warehouse operations.

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Robotic Guidance & Object Recognition

High-precision 3D vision provides real-time object detection and spatial perception for industrial robots, supporting accurate positioning, grasping and automated handling tasks.

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3D Dimension & Shape Inspection

3D vision technology enables accurate measurement and shape inspection of components on production lines, improving manufacturing quality, consistency and production efficiency.

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How 3D Vision Powers Industrial Automation

X-Dynamics iToF cameras capture depth maps and point cloud data. Calibration, post-processing and application algorithms then convert the 3D data into object distance, position, orientation and dimensional information for AGV and robot control systems.

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AGV equipped with a 3D iToF camera identifying a blue pallet for automated loading and unloading
Pallet Recognition

The 3D iToF camera captures pallet shape, position and depth information, helping mobile robots identify pallets and complete accurate loading and unloading operations.

AGV using a 3D depth camera to detect a pallet, carton and traffic cone in an industrial workspace
Obstacle Avoidance

Real-time depth and point cloud data enables mobile robots to detect nearby obstacles, measure distance and improve operational safety in dynamic environments.

Industrial robotic arm using an overhead 3D vision camera for object recognition and automated handling
Robotic Guidance & Object Recognition

Calibrated depth and point cloud data describe an object’s shape, position and orientation in 3D. The recognition results are transmitted to the robot controller to support target localization, alignment and automated handling.

Autonomous industrial vehicle equipped with a 3D vision sensor navigating through a factory campus
3D Dimension & Shape Inspection

The camera captures calibrated 3D surface data and calculates object dimensions. Measurement results can be compared with preset tolerances to identify size or shape deviations in components and packages.

Functional Features

Automated pallet handling vehicle carrying a packaged load for AGV pallet recognition and positioning applications

Pallet Identification

Pallet identification provides various solutions to standard two-hole pallets; customized pallet identification of single-hole pallets, two-hole pallets and multi-hole pallets is available. It can accommodate pallets made of different materials, including wood, steel and plastic.

Compact tracked mobile robot for 3D vision obstacle detection and autonomous navigation applications

Obstacle Avoidance

Obstacle avoidance supports horizontal, inclined and spliced installation methods to identify obstacles of different sizes on the road ahead. It also enables the robot to adjust or detour according to the size of the obstacle.

iTOF Depth Camera

View Specifications
X-Dynamics iToF 3D depth camera module for AGV navigation, robot vision and industrial automation applications
  • Small design supports various application environments.
  • Reliable product stability with competitive cost efficiency.
  • Simple algorithms provide depth information for easy secondary development.
  • Maintains high accuracy in dark, low-light and strong-light environments.
  • Accurately detects multiple targets with reliable data output.
  • Supports single-hole pallets, multi-hole pallets and customized recognition applications.
  • Designed for pallet identification and obstacle avoidance in different scenarios.
  • Provides customized solutions and reliable after-sales service.

Depth & Point Cloud Results

Real-time depth and point cloud data supports accurate pallet recognition and obstacle detection for mobile robots.

Pallet Depth Map

Visualizes pallet distance and spatial structure.

Pallet Point Cloud

Captures pallet contours for accurate recognition.

Color depth map showing an obstacle and surrounding environment detected by a 3D depth camera

Obstacle Detection

Identifies obstacles in front of the mobile robot.

Obstacle Point Cloud

Provides depth and position data for safer navigation.

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6F, Building C2, Wuhan Future Science and Technology City, No.999 Gaoxin Blvd, Wuhan, Hubei 430205, China.