inspect award 2022: The nominees have been selected
The jury of the inspect award 2022 has nominated ten products in the categories "Vision" and "Automation + Control" and the voting runs from now until September 24, 2021. Vote and choose the best product in machine vision and optical metrology.
Die nominierten Produkte des inspect award 2022 stehen fest. Stimmen Sie jetzt ab und küren Sie die besten Innovationen der industriellen Bildverarbeitung und optischen Messtechnik. (Bild: Wiley)
You can cast your vote and select the best products at www.inspect-award.com. The award ceremony will then take place at the Vision trade fair in Stuttgart.
The nominees of the Vision category
AT - Automation Technology: Modular 3D Compact Sensor (MCS) (Image: Automation Technology)
You can find more details about the product at www.inspect-award.com
CBC (Europe): ViSWIR lenses of the Hyper-APO serie (Image: CBC Europe)
You can find more details about the product at www.inspect-award.com
Cubert: Ultris X20 Plus hyperspectral camera (Image: Cubert)
You can find more details about the product at www.inspect-award.com
Edmund Optics: Techspec CW lens series (Image: Edmund Optics)
You can find more details about the product at www.inspect-award.com
Imago Technologies: Smart Camera Industrial Dashcam (Image: Imago)
You can find more details about the product at www.inspect-award.com
Lucid Vision Labs: Helios2 Time-of-Flight Camera (Image: Lucid Vision Labs)
You can find more details about the product at www.inspect-award.com
Mitutoyo: Varifocal Lens Taglens (Image: Mitutoyo)
You can find more details about the product at www.inspect-award.com
Photonfocus: UV camera MV4-D1280U-H01-GT (Image: Photonfocus)
You can find more details about the product at www.inspect-award.com
Smart Vision Lights: Lighting LMX-75 UV-C (Image: Smart Vision Lights)
You can find more details about the product at www.inspect-award.com
Vision Components: VC picoSmart (Image: Vision Components)
You can find more details about the product at www.inspect-award.com
The nominees of the category Automation & Control
Cretec Cybernetics: Inspection System QBIC Robotic Vision Control (Image: Cretec)
You can find more details about the product at www.inspect-award.com
GOM: Software Virtual Clamping (Image: GOM)
You can find more details about the product at www.inspect-award.com
Göpel Electronic: AOI module for assembly processes with AI MultieyeS plus (Image: Göpel)
You can find more details about the product at www.inspect-award.com
HD Vision Systems: Bin picking system Lumiscan Binpick (Image: HD Vision Systems)
You can find more details about the product at www.inspect-award.com
IFM: Sensor PMD Profiler (Image: IFM)
You can find more details about the product at www.inspect-award.com
LMI: Gocator 3520 3D sensor (Image: LMI)
You can find more details about the product at www.inspect-award.com
Micro-Epsilon: 3D sensor Surfacecontrol 3D 3500 (Image: Micro-Epsilon)
You can find more details about the product at www.inspect-award.com
Trioptics: Imagemaster PRO ST inspection system (Image: Trioptics)
You can find more details about the product at www.inspect-award.com
Visiconsult: X-ray inspection system X H.130 Inline (Image: Visiconsult)
You can find more details about the product at www.inspect-award.com
Zeiss: Visioner 1 digital microscope (Image: Zeiss)
You can find more details about the product at www.inspect-award.com
Company
Carl Zeiss IMT GmbHCarl-Zeiss-Str. 22
73447 Oberkochen
Germany
most read
10.07.2025 • Contributions • Machine Vision
Optical Metrology Technology: Focus-Variation and its Advanced Extensions
Basics of Measurement Technology
16.06.2025 • Contributions • Machine Vision
Hyperspectral Imaging for Surface and Layer Analysis
Optical Wafer Inspection
10.07.2025 • Contributions • Machine Vision
MWIR system camera for continuous industrial operation
Entry into infrared imaging
23.05.2025 • Contributions • Machine Vision
“The DSX2000 is a fully automated digital microscope”
Digital microscope with AI assistance
10.07.2025 • Contributions • Machine Vision
Measurement uncertainty in manufacturing: Understanding the basics
Why precise measurement results alone are not enough