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Autonomous Picking

Autonomous Picking

ActiNav is a UR+ application kit that simplifies the integration of autonomous bin picking of parts and accurate placement in machines using UR cobots. It synchronously handles vision processing, collision-free motion planning and autonomous real-time robot control.

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By using CertifEye and ProcVision to simplify IP or ISP pipeline design, instantly test and validate, and reduce compilation time by 50%, customers can bring products to market in just one-third the time. (Image: Gidel Ltd.)
By using CertifEye and ProcVision to simplify IP or ISP pipeline design, instantly test and validate, and reduce compilation time by 50%, customers can bring products to market in just one-third the time. (Image: Gidel Ltd.)
3x Acceleration of FPGA and ASIC Development and Validation

3x Acceleration of FPGA and ASIC Development and Validation

The developer’s kit CertifEye is a development, debug, and validation solution. It provides developers with infrastructure that injects known images and videos into FPGA/ASIC processing (IP) or an ISP pipeline under test, process them in FPGAs in near or real time, and return results back to the host.

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With deep learning we tend to re-use a relatively small handful of algorithms across a wide range of applications and imaging conditions. This has two important consequences. (Image: MVTec Software GmbH)
With deep learning we tend to re-use a relatively small handful of algorithms across a wide range of applications and imaging conditions. This has two important consequences. (Image: MVTec Software GmbH)
How Deep Learning is Changing Real-World Computer Vision

How Deep Learning is Changing Real-World Computer Vision

The expansion of computer-vision-based systems and applications is enabled by many factors, including advances in processors, sensors and development tools. But, arguably, the single most important thing driving the proliferation of computer vision is deep learning.

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Image 1 | Pictures taken with the VC-151MP camera with the thermoelectric cooling (TEC) turned off (l.) and on (r.) with one second. (Image: Vieworks Co., Ltd.)
Image 1 | Pictures taken with the VC-151MP camera with the thermoelectric cooling (TEC) turned off (l.) and on (r.) with one second. (Image: Vieworks Co., Ltd.)
Ultra-High Resolution Cameras with Thermoelectric Cooling

Ultra-High Resolution Cameras with Thermoelectric Cooling

Two years after introduction of their 155MP camera Vieworks has added two new ultra-high-resolution models with 151MP and 101MP to its product line-up. Both models include Thermoelectric Cooling (TEC) using Peltier effect.

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Image 1 | IP cores secure the interoperability of the camera and host while ensuring compliance with the latest version of the interface layer. Sensor to Image´s Vision Standard IP Cores solutions are delivered as a working reference design along with FPGA IP cores. (Image: Euresys s.a.)
Image 1 | IP cores secure the interoperability of the camera and host while ensuring compliance with the latest version of the interface layer. Sensor to Image´s Vision Standard IP Cores solutions are delivered as a working reference design along with FPGA IP cores. (Image: Euresys s.a.)
Reduce Time to Market with Transport Layer IP Cores

Reduce Time to Market with Transport Layer IP Cores

Several months of work by protocol engineers is typically required to design an interface for a vision system. A number of vision camera manufactures, such as Ozray, Crevis and Sick, are addressing this challenge by purchasing transport layer interfaces in the form of intellectual property (IP) which is provided ready to incorporate into FPGAs along with other camera features.

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Image 1 | VCV-Cortex Pose estimation viewer. Showing a bin full of dark shiny rivets. The found rivet is highlighted in green and its 6D pose shown on the bottom left corner. Being a pre-trained AI system, it needs less than one minute to learn the geometry of any new part. (Image: Vancouver Computer Vision Ltd.)
Image 1 | VCV-Cortex Pose estimation viewer. Showing a bin full of dark shiny rivets. The found rivet is highlighted in green and its 6D pose shown on the bottom left corner. Being a pre-trained AI system, it needs less than one minute to learn the geometry of any new part. (Image: Vancouver Computer Vision Ltd.)
AI Powered 3D Vision System for Robotic Pick&Place Applications

AI Powered 3D Vision System for Robotic Pick&Place Applications

VCV-Cortex is an AI powered stereovision system developed for robotic applications. It works with any camera and optical system to provide the desired range, FoV and precision. Unlike structured light cameras, it can work on dark and/or shiny objects at high speed.

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Through Artificial Intelligence (AI), the Inspect system improves continually and can locate and classify defects on components that the computer system has never seen before. (Image: Dataprophet Ltd.)
Through Artificial Intelligence (AI), the Inspect system improves continually and can locate and classify defects on components that the computer system has never seen before. (Image: Dataprophet Ltd.)
AI System for the Inspection of Engine Blocks

AI System for the Inspection of Engine Blocks

The largest foundry in Southern Africa produces engine blocks. The raw material undergoes a series of processes concluding in a final inspection of the end product, an engine block.

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Image 1 | A multi-light algorithm takes four images of a diode with a lense with glare from top light sections resulting in an image where specular highlights are removed and the contrast of the details enhanced. (Image: Octonus Finland Oy)
Image 1 | A multi-light algorithm takes four images of a diode with a lense with glare from top light sections resulting in an image where specular highlights are removed and the contrast of the details enhanced. (Image: Octonus Finland Oy)
Flicker- and Reflection-Free Illumination for Machine Vision

Flicker- and Reflection-Free Illumination for Machine Vision

A new multi-light technology is mixing several images of an object with varying lighting environments for better image results.

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