In the era of rapid e-commerce growth, the logistics industry is facing unprecedented challenges. Wayzim has launched the Intelligent Stereo Camera, empowering automated logistics assembly lines and enhancing processing capabilities.
I. Technical Principles
Wayzim’s RGB-D Intelligent Stereo Camera integrates RGB images and depth data to accurately recognize targets and locate their 3D spatial positions. The camera processes images quickly and recognizes targets with high accuracy by using intelligent deep learning algorithms.
The camera captures the depth information of a target and converts the information into 3D point cloud data. This data is then denoised to more accurately represent the 3D structure of the target. The camera integrates 2D image segmentation with 3D point cloud data, enabling precise positioning and dynamic tracking of targets in 3D space.
▲ RGB-D Intelligent Stereo Camera
II. Product Advantages
The camera offers significant advantages in 3D recognition and positioning of targets:
Efficiency: By integrating 2D perception and stereo vision technologies, the camera quickly and accurately recognizes and locates targets. The camera acquires depth information in real time to ensure precise positioning.
Robustness: The camera can not only recognize the color and shape of an item, but also capture depth information, providing high recognition capabilities for colors, shapes, and materials. The camera accurately recognizes multiple targets in different types and conditions.
High accuracy: Through various vision technologies, the camera recognizes targets in conditions, with an accuracy rate of over 99% in high-volume and complex environments.
Practicality: The depth information enables the differentiation of layered relationships between targets, providing downstream systems with precise 3D positioning data, thereby improving the grasp success rate.
III. Application Scenarios and Effects
Against the backdrop of the rapid development of e-commerce, parcel detection and automated supply have emerged as core demands in the logistics process. Therefore, Wayzim's RGB-D Intelligent Stereo Camera has been fully used in various application scenarios:
AI Parcel Detection System: Based on deep learning algorithms, the camera can accurately recognize parcel positions, quantities, and categories in real time. The system is ideal for application scenarios that require efficient parcel information detection.
Static volume measurement: By using both depth and color maps, the camera automatically measures the length, width, and height of parcels with an accuracy of ± 10 mm. This is ideal for warehouse management and logistics sorting scenarios.
Automated Robotic Parcel Infeed System: By integrating deep learning algorithms with robotic arms, the system enables comprehensive parcel detection. The system supports both static and dynamic infeed modes, making it suitable for large-scale logistics systems.
Additionally, the camera can enable full-process traceability, multi-type detection, and high-precision sorting in system applications, helping customers monitor parcel dynamics in real time, while enhancing the safety and reliability of transportation:
Full-process traceability: The system can detect parcel positions on the belt, providing coordinate information for subsequent handling and solving the problem of difficult traceability in parcel sorting.
Multi-type detection: The system extracts features from position data by using lightweight models to optimize sorting paths and improve sorting efficiency.
High-precision sorting: The system determines parcel status throughout the entire process, reducing sorting errors caused by parcel stacking.
IV. Industry Value and Social Benefits
Wayzim's RGB-D intelligent Stereo Camera offers significant value in the logistics industry:
Cost efficiency: Through automation and intelligence, the camera significantly reduces labor and training costs, improving overall operational efficiency.
Handling efficiency: High-precision recognition and automated sorting accelerate logistics speeds, shorten delivery cycles, and allow a smoother entire process.
Service level: Precise recognition minimizes errors in sorting, enhancing customer satisfaction.
In the future, Wayzim will keep developing more advanced visual recognition and deep learning algorithms, providing sustained momentum for the development of intelligent logistics. Additionally, Wayzim remains committed to its social responsibility and is dedicated to using technical innovation to provide greater benefits for society, ensuring that intelligent technology truly serves everyone's daily life.
