3D vision system empowers efficient mixing and dismantling of multiple SKU cardboard boxes

In the rapidly developing e-commerce era, warehousing and logistics are facing unprecedented challenges.  Especially when faced with thousands of different types of cardboard boxes, how to achieve fast, accurate, and efficient mixing and dismantling operations has become an urgent problem for many enterprises to solve.  Fortunately, with the advancement of technology, 3D vision systems are gradually becoming a disruptor in this field, empowering efficient mixing and dismantling of multi SKU cardboard boxes with their unique advantages.

Case Background/A 3C Electronics Factory

In the finished product delivery process of this production workshop, there are a large number of cardboard boxes of different specifications, and manual handling is labor-intensive and inefficient. Traditional mechanical grasping methods are difficult to adapt to mixed stacking types.

Technical background

Traditional carton unpacking usually relies on manual operation or simple robotic arms, but when dealing with mixed unpacking of multiple SKU cartons, these methods often face problems such as difficult identification and low efficiency.  To address these issues, we have introduced 3D vision technology to achieve fast and accurate recognition of multiple SKU cartons through high-precision image recognition and processing.

3D Vision System

Our 3D vision system adopts the most advanced optical principles and algorithms, which can quickly obtain three-dimensional image information of cardboard boxes.  Through deep learning and image processing techniques, the system can automatically recognize the shape, size, color, texture, and other information of cardboard boxes, thereby achieving accurate recognition of multi SKU cardboard boxes.

Workflow:

Under the guidance of the 3D vision system, the process of mixing and disassembling multiple SKU cardboard boxes is as follows:

1. The cardboard box enters the unpacking area and is scanned and recognized in real-time by the 3D vision system;

2. The system automatically generates the optimal grasping path and action based on the recognition results;

3. The robotic arm accurately grasps the cardboard box according to the system instructions and places it in the designated position;

4. Repeat the above steps until all cardboard boxes are unpacked.

Advantages of the plan:

1. High recognition accuracy: The 3D vision system can accurately recognize cardboard boxes of different shapes, sizes, and colors, effectively avoiding accidental grabbing;

2. Strong adaptability: capable of handling mixed unpacking of multiple SKUs of cardboard boxes, meeting the needs of different production lines;

3. High efficiency: By optimizing algorithms and path planning, the efficiency of unpacking can be greatly improved;