Client Cases: LiDAR-based Truck Volume Measurement and Loading Process Inspection

Introduction

In this article, we will explore how LiDAR technology can be used to improve material processing operations. We will discuss the challenges faced by material processing factories and how LiDAR technology can help overcome them. We will also provide a case study of a factory that implemented our solution and achieved significant improvements in its loading process.

Challenges Faced by Material Processing Factories

Material processing factories face numerous challenges when it comes to loading trucks with materials.

1. Inconsistent truck models and the presence of obstacles such as crossbars inside the truck bed can lead to damage to the truck or the loading equipment.
2. The dusty environment in the material processing area can make it difficult for operators to see clearly, leading to overloading and material waste by overflow.

Truck Volume Measurement Solution

Our team proposed a solution that involved using our VI-T/G LiDAR sensor and integrating it with the factory’s existing camera system.

The LiDAR sensor was able to accurately scan the truck bed and detect any obstacles such as crossbars. The camera system was used to provide visual confirmation of the loading process. By combining these two systems, the factory was able to achieve real-time monitoring of the loading process and prevent any damage to the truck or the loading equipment.

Truck Volume Measurement Benefit

After implementing our solution, the factory was able to significantly improve its loading process.

1. They were able to reduce their loading time from an average of 15 minutes to less than 10 minutes.
2. The LiDAR sensor was able to detect the level of the material being loaded, preventing any overflow and material waste.
3. The factory was also able to automate its record-keeping process, saving them the cost of one employee.
4. The loading equipment was able to operate without interruption for six months, reducing maintenance costs.

Future of 3D LiDAR in Material Processing

The future of 3D LiDAR in material processing is promising. As the technology continues to evolve, we can expect to see even more applications in various industries. For example, LiDAR could be used to monitor the health of equipment, detect defects, and optimize supply chain logistics. Additionally, LiDAR could be integrated with other technologies such as drones and artificial intelligence to create even more powerful solutions.