Building block detection workstation
AI-based detection algorithms accurately detect defects in building blocks such as damage, paint loss, cracks, and discoloration, enabling efficient detection and sorting, and providing quality inspection solutions for crafts. The conventional detection speed is approximately two to three times faster than manual inspection, and it supports efficient detection of multiple sizes.
details
Panel Detection and Splicing Workstation
Utilizing AI algorithms, this system performs detailed color difference and texture analysis of wood boards. Combined with proprietary strategic algorithms, it outputs wood board splicing solutions and utilizes a warehousing module for categorized storage, providing a complete board splicing solution for furniture manufacturing. Standard detection speed reaches 2 meters/second and is compatible with multiple sizes.
details
Plastic net bag visual detection machine
Six sets of vision detection devices work together online to detect flaws of various diameters, colors and meshes of plastic net bags, such as black spots, broken wire, uneven mesh, etc. Characteristics: the robust self-deep learning algorithm is applicable to different specifications of products, customized waterproof special light source can be provided, it can adapt to the working environment where there is splash of water drops, and the specially-designed distinctive suspension mechanism can enhance the image and enjoy the invention patent protection.
details
The vision system featuring deep learning can detect the water content, length, width and height, distortion, deformation, wormhole, crack, surface warping, dead knot, color aberration and other flaws of boards. Several robots classify and pile up boards with the release crosser according to the detection result.
details
Building block detection workstation
AI-based detection algorithms accurately detect defects in building blocks such as damage, paint loss, cracks, and discoloration, enabling efficient detection and sorting, and providing quality inspection solutions for crafts. The conventional detection speed is approximately two to three times faster than manual inspection, and it supports efficient detection of multiple sizes.
details
Panel Detection and Splicing Workstation
Utilizing AI algorithms, this system performs detailed color difference and texture analysis of wood boards. Combined with proprietary strategic algorithms, it outputs wood board splicing solutions and utilizes a warehousing module for categorized storage, providing a complete board splicing solution for furniture manufacturing. Standard detection speed reaches 2 meters/second and is compatible with multiple sizes.
details
Plastic net bag visual detection machine
Six sets of vision detection devices work together online to detect flaws of various diameters, colors and meshes of plastic net bags, such as black spots, broken wire, uneven mesh, etc. Characteristics: the robust self-deep learning algorithm is applicable to different specifications of products, customized waterproof special light source can be provided, it can adapt to the working environment where there is splash of water drops, and the specially-designed distinctive suspension mechanism can enhance the image and enjoy the invention patent protection.
details
The vision system featuring deep learning can detect the water content, length, width and height, distortion, deformation, wormhole, crack, surface warping, dead knot, color aberration and other flaws of boards. Several robots classify and pile up boards with the release crosser according to the detection result.
details
contact information
Copyright: Anji Bata Robot Co., Ltd
contact information
Address: No. 8, Lingfeng South Road, Anji County, Huzhou, Zhejiang
Tel：136 6144 7701
e-mail: xzc@batarobot.com