Garage, Journal &
Prove of Concepts

Here is some concepts we have proven. Learn more about what we can do here.
Please let us know if you have any great ideas wish to work out.

Business Intelligence

Smart Advertisement Management System (SAMS)


Sep 01 2019

SAMS is a platform that connects to all NEUON-BOX where users can easily manage their advertisement content via the SAMS platform with their PC, or smart phones. Talk now to us to access the demo.


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Business Intelligence

Werk HR


Aug 27 2020

Werk HR is a platform that was designed for small businesses to manage their attendance system. The system was provenly works very well; our HR and other companies found it very convenient. Employees only need a smartphone to log in when they reach a particular area.


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Computer Vision

Emotion Recognition


Aug 27 2020

NEUON AI face recognition originally was build to manage find an interest of customer that react with our interactive panel. But model application not limited to that, it can be use to identify intruders, registration system, identify the satisfaction of customer and many more.


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Computer Vision

Plant Disease Recognition


Jul 04 2019

NEUON launches the plant disease recognition project to help farmers in identifying a specific disease. Instead of keywords search to search for information, we apply an image retrieval solution. The process is simple where farmers only need to snap picture of affected plants directly via smartphone. AI will assist them to get required guidance through an identification process to determine plant disease. Also link them to relevant information or domain experts. Users can assess to our demo by clicking the "Read ME" button.


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Computer Vision

Computer Vision-Based People Counting


Aug 27 2019

Several people detection and tracking methods are studied. It is discovered that the SSD detection with Kalman filtering yield the best results. In this PoC, we have implemented this people counting method by detecting and tracking ourselves walking left and right, as well as up and down. The white line in the video represents the counting line of the experiment. The red bounding box indicates the detection, while the blue bounding box indicates the tracking.


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