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T52

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Dedicated 3D depth camera for unmanned forklifts—125° ultra-wide angle, precisely locks onto the fork tip’s field of view.


Overview

125° ultra-wide angle, with a dead-angle-free field of view.

Compared to conventional 3D cameras, the T52’s horizontal field of view has been increased to: 125° This groundbreaking design enables a single device to cover the entire front-end operating area of an unmanned forklift, allowing it not only to clearly see the pallet directly in front but also to take into account obstacles along both side legs and at the edge of the chassis.

High-resolution imaging enables more accurate pallet recognition.

Output 640 × 240 Its high-density point cloud has twice the resolution of the T51. This means that the T52 can capture richer object details, helping algorithms accurately identify the center of pallet hole positions from greater distances and significantly improving the success rate of automated loading and unloading operations for unmanned forklifts.

Optimized specifically for forklift operating conditions—unafraid of vibration and strong light.

Pure solid-state design with no mechanical components, perfectly adapted to the high-frequency vibrations encountered during forklift operation. The optimized optical system features... 10,000 Lux Strong resistance to light—maintains stable depth measurement even in areas directly exposed to sunlight, such as near warehouse doors and windows, without losing the target.

Core features

  • Imaging technology: 3D ToF (Time-of-Flight)
  • Ultra-wide field of view: 125° (horizontal) × 55° (vertical)
  • High resolution: 640 × 240 pixels
  • Measurement range: 0.05 m ~ 3 m (10% reflectance)
  • Frame rate: 15 fps
  • Measurement accuracy: ±2 cm (0.15 m ~ 1 m)
  • Obstacle avoidance function: 16 regional group switches
  • Data interface: 100M Ethernet (TCP/IP)

Defining the “Golden Vision” for Unmanned Forklifts

 T52 application scenarios

When operating, an unmanned forklift must not only clearly identify the pallet slots directly ahead to ensure precise docking but also pay close attention to whether the side outriggers might collide with the racking. Traditional narrow-field-of-view cameras often fail to balance these two critical tasks effectively.

The T52 perfectly resolves this contradiction thanks to its 125° golden field of view. Mounted between the forks or at the front of the vehicle, it can simultaneously monitor both the core operational area and the surrounding safety zone, ensuring that every lift and every turn of the forklift is handled with ease and precision.

Made for pallet handling

 Tray Recognition

Accurate identification, hitting the mark every time.

The high-resolution depth images provided by T52 can clearly restore the geometric features of the pallet. Combined with the vision algorithm library provided by YINTAILI, you can easily achieve... With a U-shaped base, nine legs, and double-sided. and automatic recognition and pose estimation of various pallet hole positions.

Even if the pallets are improperly positioned or have a certain angular deviation, the T52 can still provide accurate correction data, guiding forklifts to adjust their fork-entry angles and significantly improving the operational efficiency of automated logistics.

 Wide-angle obstacle avoidance

Wide field of view, eliminating lateral blind spots.

For wide-body forklifts or heavy-duty AGVs, the blind spot on the side and front is a high-risk area for collisions. T52’s 125° The field of view can cover areas beyond the width of the vehicle.

This means that when a forklift is turning or driving diagonally in a narrow aisle, the T52 can detect shelf uprights, wall corners, or pedestrians ahead and to the side in advance, promptly issuing an obstacle-avoidance signal and completely eliminating the safety hazard of "focusing only on the front and ignoring the rear."

 Hovering Detection

Spatial perception—ignore suspended traps.

Traditional 2D bottom radars cannot detect overhead obstacles (such as protruding steel pipes or unreturned drawers). The T52, however, creates a three-dimensional, conical detection field.

Whether it’s low obstacles on the ground or suspended objects halfway through the air, as long as they come within T52’s field of view, they’ll be precisely detected. This provides forklifts with true 3D safety protection, preventing costly damage to both goods and equipment.

 Easy to integrate

Rich interfaces, simpler development

T52 supports standard Ethernet communication and provides C++ / Python SDK and comprehensive ROS / ROS2 Driver Package

Not only does it support outputting raw depth maps and point cloud data, but it also allows running obstacle-avoidance algorithms directly within the camera itself and outputs control signals directly via I/O interfaces. Whether used as a visual sensor for secondary development or as a standalone obstacle-avoidance module, the T52 can handle the task with ease.

YINTAILI All-round Services

Visual Algorithm Consulting

Having trouble with pallet recognition? Our algorithm experts are here to provide you with image-processing recommendations and solutions based on T52 point cloud data.

ROS Integration Support

Provides comprehensive guidance on ROS node configuration to help you quickly integrate the T52 into your robot’s navigation system.

Prototype Trial Service

We offer a T52 prototype loan-testing service, allowing you to experience its outstanding performance firsthand in a real warehouse environment.