Advantages of TOF Technology in Pallet Recognition

TOF (Time of Flight) technology calculates the distance of objects by measuring the time it takes for light to travel from the source to the object and back. Compared to structured light, TOF technology offers higher precision and stability in depth measurement. While structured light relies on projecting light patterns and capturing images using an image sensor for complex calculations, TOF technology directly measures the flight time of light with an image sensor, reducing computational errors and providing more accurate depth data.

 

TOF technology maintains excellent performance under various lighting conditions. Structured light can struggle with recognition in strong light, shadows, or reflective surfaces, whereas TOF, by directly measuring the flight time of light, is less sensitive to environmental light interference. This allows TOF to perform reliably in complex environments.

 

 

TOF cameras can capture and process depth information at very high speeds, making them ideal for pallet recognition applications that require real-time processing. Structured light technology needs image processing to calculate depth information, which is relatively slow. In contrast, TOF technology’s direct measurement approach significantly improves recognition speed, meeting the demands of high-speed industrial automation.

 

TOF systems typically consist of a laser emitter, a receiver, and a timer, resulting in a relatively simple hardware structure. Structured light systems require complex grating projection and high-precision camera equipment, making hardware design and maintenance costly. TOF technology's hardware design is more straightforward, easier to integrate and maintain, reducing the overall complexity and cost of the system.

 

 

 

Modern TOF sensors can capture high-resolution and wide-field depth images, covering broader pallet recognition needs. Structured light is limited in balancing field of view and resolution, whereas TOF technology excels in providing high resolution and a wide field of view, performing exceptionally well in extensive pallet recognition tasks.

 

 

TOF sensors are compact, making them easy to integrate into various devices and systems. This flexibility allows TOF technology to be applied in diverse scenarios and equipment, meeting a wide range of pallet recognition requirements.

 

 

TOF technology offers higher accuracy in long-distance measurements compared to structured light. Structured light loses measurement precision over long distances due to light diffusion and environmental light interference, while TOF can maintain high precision in long-distance measurements, suitable for extensive pallet recognition tasks.

 

 

TOF technology performs exceptionally well in complex environments. By measuring the flight time of light, TOF can provide accurate depth information even in environments with multiple obstacles and irregular shapes. Structured light technology, when faced with such complex scenarios, may encounter recognition errors due to light interference and reflection issues.

 

 

Our TOF technology product, CS20, excels in shelf recognition and unmanned forklift operations. Through precise depth measurement and high-speed real-time recognition, TOF technology accurately identifies pallet positions on shelves, ensuring efficient and accurate handling by unmanned forklifts. Its high resolution and wide field of view enable outstanding performance in complex warehouse environments, significantly enhancing the automation level of storage and logistics management.

 

 

 

 

·Product Description

Soild-state Lidar_CS20 is equipped with a Time-of-Flight (ToF) image sensor boasting a resolution of 640 * 480. It leverages ToF technology to capture three-dimensional information of objects and space. This advanced LiDAR unit offers outstanding performance attributes like extended range and low power consumption, providing users with convenient and efficient 3D perception. Additionally, it functions as a 3D camera and depth sensor, optimizing depth camera capabilities for enhanced performance.

• Robotic SLAM
• Volume measurement
• Liveness detection
• Somatosensory interaction
• 3D modeling
• Security monitoring/people counting

 

Conclusion 

TOF technology offers significant advantages over structured light technology in pallet recognition, including more accurate depth measurement, stronger anti-interference ability, faster recognition speed, simpler hardware structure, higher resolution and wide field of view, compact size and easy integration, high accuracy in long-distance measurement, and excellent performance in complex environments. These advantages make TOF technology widely applicable in industrial automation and logistics management, providing reliable technical support for improving the efficiency and accuracy of pallet recognition.

Synexens 3D Of RGBD ToF Depth Sensor_CS20

 

 

After-sales Support:
Our professional technical team specializing in 3D camera ranging is ready to assist you at any time. Whether you encounter any issues with your TOF camera after purchase or need clarification on TOF technology, feel free to contact us anytime. We are committed to providing high-quality technical after-sales service and user experience, ensuring your peace of mind in both shopping and using our products