Demo Video
NM500 simulation Video
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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Brilliant USB is used in this video.
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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NeuroShield , Knowledge Studio is used in this video.
Hiragana
After learning the Hiragana characters, the selected characters are recognized.
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BrilliantUSB is used in this video.
Unsupervised Learning and Novelty Detection
Novelty detection after image segmentation using unsupervised learning techniques.
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BrilliantUSB is used in this video.
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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BrilliantUSB is used in this video.
Gesture recognition RC Car
After learning gestures, RC car moves to recognized gestures.
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NeuroShield is used in this video.
Smart RC Car
RC Car that utilizes Neuromorphic chip NM500 to learn collisions and avoid obstacles.
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NeuroShield is used in this video.
Smart LED
Comparison between general Sensor Lights and Smart LED lights.
Anyone can easily implement an intelligent sensor lights.
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NeuroShield is used in this video.
Door Lock Demo Continuity
NeuroShield and Knowledge Studio to implement face recognition door lock without coding.
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NeuroShield is used in this video.
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