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Author: Peter

3D Robotic Vision and Deep Learning Automate Post-Harvest Squash Handling at 1200 Units per Hour

September 22, 2026 Peter Leave a comment

Quebec’s agricultural industry is facing a growing structural challenge: seasonal labour shortages. In 2022, nearly 28,200 agricultural positions went unfilled…

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STM32 B-CAMS-OMV Walkthrough

April 28, 2023 Peter

The STM32 B-CAMS-OMV camera module offers an accessible way to get started with embedded vision. Coupled with the STM32H747I-DISCO discovery…

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STM32 VS Code Extension Under The Hood

April 20, 2023 Peter

VS Code is becoming the “go to” environment for many developers. Increasingly, toolchain providers are publishing VS Code extensions and…

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Basler pylon on Raspberry Pi with Yocto

January 21, 2023 Peter

Camera vendors are increasing offering Yocto layers to simplify the integration of drivers and the creation of cross-compilation environments. This…

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TensorFlow Datasets

October 10, 2022 Peter

TensorFlow Datasets are commonly used for sharing datasets in the public domain. Well known examples include the MNIST dataset for…

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Docker for Computer Vision

February 19, 2021 Peter

Setting up development environments for Deep Learning can be time consuming and frustrating. Open source neural network libraries such as…

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Embedded Vision Overview

February 5, 2021 Peter

Industrial vision systems often fall into two categories: PC-based and smart cameras. A lesser known approach, at least in industrial…

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The importance of .NET 5

January 22, 2021 Peter

In November 2020 Microsoft shipped .NET 5. This is the first of two major steps in .NET unification which will…

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Point Cloud Library Introduction

January 8, 2021 Peter

Point Cloud Library (PCL) is an open source project focused on image processing algorithms for 3D point clouds. This article…

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OpenCV installation on Windows 10

April 5, 2020 Peter

For developers wishing to explore computer vision, OpenCV is the best place to start. Installing OpenCV however is notoriously tricky.…

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  • 3D Robotic Vision and Deep Learning Automate Post-Harvest Squash Handling at 1200 Units per Hour
  • STM32 B-CAMS-OMV Walkthrough
  • STM32 VS Code Extension Under The Hood

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