Ensenso Application Examples

This repository contains a few examples to give you an idea of how Ensenso cameras and software may be used in your application.

Requirements

You'll need a Python installation that is also capable of running Jupyter notebooks. To set up the Python environment with the necessary packages, you can use the provided requirements.txt and the command

pip install -r requirements.txt

Furthermore you need to install the Ensenso SDK, which you can download from https://ensenso.com/download.

List of Examples

	Description	Key Learnings	Level
	Measure Boxes Using an orthographic projection of the point cloud, we measure the dimensions, position and rotation of singular boxes on a palette. Check it out here: measure_boxes.ipynb.	Workspace Calibration Basic Capturing Using Projections OpenCV: Detect Contours	Beginner
	Detect light-coloured metal parts By thresholding height-data we detect light-coloured metal parts on a light-coloured background. Check it out here: detect_sheet_metal.ipynb.	Workspace Calibration Basic Capturing Using Projections OpenCV: Detect Contours	Beginner
	Check Items in a Tray By implementing a simple pattern matching algorithm, we check if the items in a tray are placed in a specific orientation. Check it out here: check_tray_placement.ipynb.	Capture, Workspace Calibration and Projections 2-Way Thresholding OpenCV: Connected Components Naive Template Matching	Intermediate