TRITO Comperio
A system building toolkit utilizing machine learning. A supporting environment designed to improve efficiency of the processes and data analyses, from data collection and learning to execution on target devices.
Features
Making Data Collection and Annotation Easier
Collected data is preprocessed and teacher signals can easily be applied with dedicated tools.
Making the Trials and Errors of Learning Easier
Configure various preprocessing settings and algorithms in dedicated tools to facilitate trial and error of the learning process.
Testing Machine Learning Models
Run the developed machine learning model on a PC or a target device through a machine learning engine.
Data Collection Application
An application that collects data from various sensors and performs preprocessing.
It can be operated on smartphones and collects data from various sensors. The start/end of the collection can be instructed from the master controller operating on a PC.
Visual Annotation Tool
A dedicated tool used to apply teacher signals. The tool runs on web browsers.
Teacher signals can be applied while verifying the collected videos and data.
Users can easily set the teacher signal from the tool.
Visual Training Tool
A dedicated tool for learning. The tool runs on web browsers.
Users can perform learning and analysis without coding.
Standard Package Content
Data Collection Application |
Visual Annotation Tool |
Visual Training Tool |
Machine learning engine |
Manual |
System Requirements
OS |
Windows 7 and later, Mac OS X and later, Linux |
Supported Browsers |
Chrome recommended |
Other |
An environment where node.js and Python3 can be run |
Contact Us
For more information regarding TRITO Comperio, please contact us through Contact.
This post is also available in JP.