Tigase Development News

Public Release Documents - Tigase IoT one Cloud Teaser Trailer 2

Tigase Development News - 5 hours 25 min ago

Check it out, our second IoT One Video!
IoT to any device you can imagine through a Raspberry Pi!

Coming Soon.


Autonomous Obstacles Detecting Vehicle - Deploying software, gradle, project description, wiki

Tigase Development News - Thu, 02/15/2018 - 14:42

This week I continued learning about Java project structure in gradle and maven, native libraries and dependencies. I created jar file containing openCV jar and native library and deployed to raspberry pi. I added a project description. I made some photos of robot object detection view and started writing a summary of problems and issues for wiki.

Tigase XMPP Server - Tigase XMPP Server 7.1.3 Release

Tigase Development News - Wed, 01/31/2018 - 17:33

A new stable, maintenance version of Tigase Server 7.1.3 has been released. See Release notes for full details.

Autonomous Obstacles Detecting Vehicle - Deploying software and communication with RaspberryPi

Tigase Development News - Tue, 01/23/2018 - 13:53

In last 2 weeks. I made some minor changes in code added comments and started deploying software to robot. I made connection with RaspberryPi via ssh for quick access to computer and via vnc to observe camera actions. I started learning abut maven and gradle. What took me the most of time was creating a java openCV jar file what isn't finished yet. I'll add code to repository as son as I'll check if it works properly on raspberryPi.

Tigase XMPP Server - Tigase Projects Website on Markdown now

Tigase Development News - Fri, 01/19/2018 - 18:32


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Autonomous Obstacles Detecting Vehicle - Color detection

Tigase Development News - Mon, 01/08/2018 - 11:37

Colour detection program is now able to find eg. tennis ball in a room and shows it's position and size. I made some changes to increase performance and now its has max and constant value of 30fps all the time on PC. I also changed a way how program capture centre of ball. Now it tries to find minimal bounding rectangle then counts centre of that rectangle. Instead of trying to use openCV "moments" function. This changes caused that program is more resistant for errors caused by smaller objects with similar colour and can capture more remote objects. There are required only few changes in code.

Autonomous Obstacles Detecting Vehicle - color detection and aruco markers detection

Tigase Development News - Wed, 01/03/2018 - 14:02

This week I spent few hours trying to create aruco markers detection in pure java. Unfortunately it's only supported in c++. I decided to postpone it to aim at colour detection instead, to provide reference point for camera vision. I created javaFX GUI reading and displaying image from camera which is able to detects colours and shows edges of given object in real time. To provide easer colour range selection I added six sliders to manually adjust HSV range parameters what's very helpful due to not intuitive HSV colour representation and not constant hue and saturation on different cameras in different light. Next step is to find center of mass of detected object to give exact XY position for steering purposes.

Autonomous Obstacles Detecting Vehicle - Completing hardware and aruco markers detection

Tigase Development News - Thu, 12/28/2017 - 13:42

Mosterborg was fully assembled. I made initial investigation on aruco markers detection in java openCV. I created first basic program which runs camera vision, converts openCV "mat" format to java BufferedImage and finally shows video in swing window. I came across a serious problem regarding computer vision in java. As pure java doesn't support aruco markers detection.

Autonomous Obstacles Detecting Vehicle - Software installation

Tigase Development News - Thu, 12/21/2017 - 09:16

Required software and all dependencies ware installed on Raspberry Pi and PC. The biggest problems appeared during building OpenCV JAR containing the Java interfaces and the files of native library(C/C++). It was time consuming due to additional dependencies and long time required to make a build. All parts of PiBorg MonsterBorg ware delivered.

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