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Author: Peter

Invariance with Keypoints

January 28, 2020 Peter

Keypoint detection and matching remains a cornerstone of object detection despite the more recent introduction of Deep Learning based approaches.…

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Vision Tools: Cognex VisionPro

January 11, 2020 Peter

Cognex are known for their smart cameras, especially the In-Sight series of cameras which are fully self-contained with on-board image…

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Vision Tools: Frame Grabbers

December 15, 2019 Peter

When GigE Vision and USB3 Vision communication protocols entered the computer vision market, enabling cameras to be connected to regular…

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Machine Learning basics: Support Vector Machines

November 17, 2019 Peter

When detecting objects in images, the Histogram of Orientated Gradient (HOG) descriptor combined with a Linear Support Vector Machine (SVM)…

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Optics basics: Camera Calibration

October 31, 2019 Peter

Image distortion can cause havoc with visual inspection systems if not correctly addressed. This article describes how to correct for…

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Computer Vision basics: Camera Link

October 23, 2019 Peter

Camera Link has been the workhorse of high speed industrial vision for almost 20 years however it remains a source…

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How to evaluate vision system accuracy

October 18, 2019 Peter

The most common metric for evaluating visual inspection system performance is accuracy, defined as the percentage of inspected objects correctly…

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Computer Vision basics: Line-Scan

October 4, 2019 Peter

Line-scan is a powerful yet underutilized computer vision technique. This article introduces the concept and applications of line-scan, reviews timing…

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Vision Tools: Cognex ViDi

September 25, 2019 Peter

In April 2017 Cognex made a significant move with their acquisition of ViDi Systems SA, which brings Deep Learning capability…

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Object detection in 30 lines of Python

September 20, 2019 Peter

Deep Learning is unquestionably the most powerful object detection tool. The downside however of Deep Learning is the large quantity…

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