The startup develops a three-dimensional color camera designed for industrial automation, featuring object recognition, classification, and in-line quality control capabilities. This technology enhances logistics efficiency and productivity by enabling precise pick-and-place automation and robotic assembly operations.
Funding
Funding not disclosed
SVFounders
Product
Problem
Many industrial automation processes, such as robotic bin picking, assembly, and inspection, require accurate 3D vision to identify, classify, and manipulate objects. Existing 2D and traditional 3D imaging systems often struggle with reflective surfaces, varying lighting conditions, and complex geometries, leading to inaccurate object recognition and reduced automation efficiency.
Solution
Zivid provides industrial 3D color cameras and machine-vision software designed to enhance automation in manufacturing, logistics, and other sectors. The cameras capture high-resolution 3D point clouds and color images, enabling robots to "see" objects with human-like precision. The cameras are designed for both stationary and robot-mounted setups. The company's software development kit (SDK) allows developers to create custom vision applications, while Zivid Studio provides a user interface for camera control, data capture, and point cloud visualization.
Target Audience
The primary target audience includes system integrators, robot manufacturers, and end-users in manufacturing, automotive, logistics, and other industries seeking to automate tasks such as bin picking, assembly, inspection, and quality control.
Features
- High-resolution 3D point clouds with >99% trueness in position, dimension, and orientation
- HDR and reflection filters for accurate imaging of shiny, metallic, and dark objects
- Industrial-grade design tested for shock, vibration, temperature variations, and ambient light
- Zivid SDK with C++, .NET, Python, and ROS interfaces for custom application development
- Zivid Studio software for camera control, data capture, and point cloud visualization
- In-field correction capabilities to maintain camera accuracy over time
- Hand-eye calibration tools for simplified robot-camera integration
- Multi-camera support for expanded field of view and reduced occlusions