New Product News
- This article is filed under:
- Bar Code/OCR
- Component Verification
- In Process Alignment
- In Process Verification
- Material Handling
- Measurement (Non Contact)
- Non-Visible Inspection
- Process Control
- Quality Assurance
- Robotic Guidance
- Spectral Analysis
- System Verification
- System Analysis
- Visual Inspection
- Visual Testing
- 3D Modeling
- Chemical Manufacturing
- Consumer Goods
- Containers (glass, plastic, metal)
- Fabricated Metal
- Food & Beverage
- Medical Devices
- Medical Imaging
- Miscellaneous Manufacturing
- Postal Service
- Primary Metal
- Scientific Imaging
- Semiconductor Equipment
- Waste Management
- Application Specific Machine Vision Systems
- Embedded Vision Processors/Compact Vision Systems
- Image Sensors
- Input/Output Devices
- Non-Visible Imaging
- Smart Cameras
- Vision Systems
- Consulting Services
- System Integration - Vision Systems
- System Integration - Automation
- System Integration - Robotics
- » View All
Zivid artifact reduction technology for shiny and reflective bin-picking applications
Zivid Posted 01/19/2021
In-field correction and calibration boards.
Even if your Zivid 3D camera is rugged and designed for industry-grade operation, unfortunate situations like a drop or crash can affect the output.
Supported by dedicated Zivid calibration boards, the new in-field correction available in SDK 2.2 makes it possible to perform verification and trueness error correction.
You can use a stationary or on-arm robot setup to capture the checkerboard and instantly verify camera trueness. If necessary a correction can be computed and written to the 3D camera. Core tasks can be run without the need for additional coding.
After installation, you can run `ZividExperimentalInfieldCorrection` on your command-line to get started.
Here's a typical procedure using in-field correction from assembly and mounting to correction using 2 captures:
Zivid in-field calibration boards can be bought directly from the official webshop.
Stripe vision engine - it's art!
Zivid's 3D color cameras use structured light technology to create high-quality point clouds. The default vision engine is "Phase". The new "Stripe" vision engine provides additional patterns and Artifact Reduction Technology (ART).
Stripe is optimized for interreflection suppression in e.g. random bin-picking applications. Besides, Stripe can be used to improve image quality when capturing point clouds of shiny or reflective objects or chrome-plated parts.
Using C++ as an example, you can specify which Zivid Vision Engine you want to use like this:
In addition to support for the new Stripe vision engine, Zivid Studio gets several new features.
In the information side panel you can now find point cloud settings, resolution, and capture time. If you open a .zdf-file, you can find serial number, model, and SDK version info.
Additional improvements include the possibility to adjust Gamma.
New shortcuts for faster workflows are also available. Use "Shift+I" to open the new information panel and press "M" to enable and disable meshing.
Other great stuff!
We listened to your feedback and have squashed several bugs since last time. For SDK 2.2, this includes an issue where the firmware could hang after a while, as well as a crash after subsequent exceptions thrown from capture() when using Ubuntu 16.04.