This guide shows you how easy it is to create a face-detection programm on a x64 Windows machine like Advantech's AIIS-1200P
This guide will get you all set up for Python-based image processing on any x64 mashine!
This project mostly was created within a one day Hackathon with the aim to create an autofocus lense on a Basler dart camera controlled by an Raspberry Pi.
In some cases when using area or line scan cameras you may need to stitch multiple images to shape a bigger image with higher resolution. This project provides source code the demonstrates how to do that with Basler pylon APIs and cameras.
On RaspberryPi it may take up to 5s to save an image. This may cause your application to run out of memory and cause image losses. This project demonstrates how to handle image saving in the right manner.
A simple Arduino Shield and Sketch for testing the digital IO of a Basler Ace camera
I have started to build a tablesoccer Video analysis with openCV, Python and a Basler camera. For now, I have realized the basic structure for the analysis, ball tracking, field detection, goal counting and ball speed calculation.
Learn how to get started with image processing on your Raspberry Pi 3!
Check out a short tutorial for a ROS-Driver for Basler Cameras to publish images from the cam. Supported are Basler cameras with USB 3.0 and GigE and also the dart cameras. It is developed by Magazino GmbH.
We have realized a simple haarcascade-based face detection with openCV. Images are acquired from a Basler dart camera. You can use that example also for any Basler 2D cameras.
This project provides additional information on the Basler BCON control protocol. Basler BCON cameras are configured via a standard I2C interface. The cameras are GenICam devices and use GenCP version 1.2, as their low level protocol.
Barcode Reader using Basler Dart USB camera and Raspberry Pi 2 (also for Windows)
The Basler PowerPack for Embedded Vision is a development kit for a Basler dart camera with BCON for LVDS Interface. It provides a reference design on the base of a MicroZed processing board with Xilinx Zynq®-7010 SoC.