Demo Video

Demo Video 2018-06-29T07:53:42+00:00

Demo Video

NM500 simulation Video

Emotion recognition
Vision System
Hiragama
Gesture Recognition RC Car
face tracking & recognition
Door detection
Person Detection behind the Wall
Smart LED
Smart RC Car
Smart Door Lock
Automatic Object Classification with NM500
Unsupervised Learning and Novelty Detection

Emotion recognition

System to recognize emotion by learning expressions.

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Vision System

System to judge defective and foreign matter after learning normal product.

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Hiragana

After learning the Hiragana characters, the selected characters are recognized.

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Gesture recognition RC Car

After learning gestures, RC car moves to recognized gestures.

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face tracking & recognition

Tracking the face of a person. If the face has been learned, the system displays the name of the person.

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door detection

The system learns the image between the doors and opens the door if it differs from the learned data. Existing door sensors cannot detect thin objects such as clothing but the Door Detection System can catch clothing and even necklace.

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Person Detection behind the Wall

Recognize the person behind the wall and tell if there is a person or not.

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Smart LED

System that controls ON / OFF state of LED by recognizing presence of person even if there is no movement in the room.

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Smart RC Car

RC Car that utilizes Neuromorphic chip NM500 to learn collisions and avoid obstacles.

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Smart Door Lock

NeuroShield and Knowledge Studio to implement face recognition door lock without coding.

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Automatic Object Classification with NM500

Determine the color and defects of objects and classify them after learning a variety of objects.

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Unsupervised Learning and Novelty Detection

Novelty detection after image segmentation using unsupervised learning techniques.

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