- Home
-
Product
-
- What challenges does your business face?
Inventory, equipment utilization, resources, performance, maintenance, quality
-
- Solution
- Support
-
Focus content
-
- Frequently Asked Questions
Product issue
Installation method
Troubleshooting
-
-
Enterprise
-
- Learn about YINTAILI
All articles
Honorary Qualifications
Team
Company History
-
Raimei T52 LiDAR: A New Tool for Unmanned Forklifts to Avoid Obstacles and Achieve High-Precision, Safe Operations
2024-04-19
Traditional forklifts have played a significant role in material handling, yet they still require manual operation, which gives rise to challenges in terms of labor costs, operational efficiency, and safety. As labor costs continue to rise, businesses are increasingly seeking ways to reduce expenses, while the demand for improved production efficiency and reduced safety incidents is becoming ever more urgent.
Against this backdrop, unmanned forklifts have emerged. Combining forklift technology with AGV (Automated Guided Vehicle) technology, unmanned forklifts leverage software systems and modules—including navigation, scheduling, perception, and communication—to achieve autonomous driving and material handling. Not only can these unmanned forklifts meet enterprises’ needs for material handling and stacking, but they can also support the overall intelligent upgrading of enterprises, seamlessly integrating with higher-level management systems and other automated equipment.
Application Challenge: Obstacle Avoidance in Complex Environments
Autonomous forklifts need to operate in a variety of environments, including indoor warehouses, outdoor factories, docks, and more. These environments may contain various obstacles such as shelving units and equipment, and their layouts and lighting conditions can differ significantly. Moreover, dynamic obstacles—such as pedestrians and moving vehicles—may also be present. The positions and trajectories of these obstacles change in real time, requiring autonomous forklifts to possess rapid response capabilities and flexible handling skills. Given the complex environments in which autonomous forklifts operate and their need for prolonged operation, there is a demand for a low-power, robust, and safe solution that can reliably meet obstacle-avoidance requirements even in challenging environments.
Solution
The Raimei T52 3D depth-imaging LiDAR is undoubtedly an ideal choice for unmanned forklifts, perfectly meeting their requirements for fork-tip positioning and obstacle avoidance. This high-performance, all-solid-state LiDAR delivers exceptional 3D imaging and depth-sensing capabilities for fork-tip obstacle avoidance. Its features—including high precision, adaptive automatic exposure, compact size, low power consumption, and high-resolution output—help unmanned forklifts enhance operational safety and efficiency, ensuring smooth operation and precise fork-tip obstacle avoidance, thereby making forklift operations smarter, safer, and more reliable.
High-precision depth imaging
High-precision depth imaging is crucial for the accuracy of fork-tip obstacle avoidance, helping unmanned forklifts avoid collisions and enhancing operational safety in confined spaces. The T52 can output 640x240 depth images and infrared point cloud data, providing clearer environmental perception for fork-tip obstacle avoidance and supporting higher levels of safe operation.
Compact size
The T52 features a compact form factor, making it ideal for integration into the fork tip area without occupying too much space.
T52 3D Depth Imaging LiDAR Characteristics
Outstanding 3D image imaging and depth perception capabilities
Adaptive Auto Exposure
Low power consumption, enabling long-term operation.
Compact design, directly integrated into the fork tip area.
Protection rating IP65
Field of view: 120° × 55°
Accuracy ±3 cm
Learn more—contact customer service for product inquiries.
Case Recommendation
Service Hotline:
400-050-0550
Product Inquiry:
19910537875
19910627875
Corporate email:
kf@yintaili.cn
Beijing Headquarters Address:
Building 3, Zone 3, Yongfeng Technology Enterprise Accelerator, Haidian District, Beijing Municipality, 2nd Floor
North China Operations Center:
Building 5B, Jindi Weixin·Yongtai Intelligent Manufacturing Park, Anfu Road, Xiqing District, Tianjin City
Henan Branch:
Unit 902, Building 1, Xinyuan International Plaza, Jianshe Road Subdistrict, Zhongyuan District, Zhengzhou City, Henan Province
Jiangsu Branch:
Room 605B, Building A, Anke Building, Jianye District, Nanjing City, Jiangsu Province
