NM500 simulation Video
Automatic Object Classification with NM500
Determine the color and defects of objects and classify them after learning a variety of objects.
Interested in this video?
Brilliant USB is used in this video.
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.
After learning the Hiragana characters, the selected characters are recognized.
face tracking & recognition
Tracking the face of a person. If the face has been learned, the system displays the name of the person.
Smart RC Car
RC Car that utilizes Neuromorphic chip NM500 to learn collisions and avoid obstacles.
Door Lock Demo Continuity
NeuroShield and Knowledge Studio to implement face recognition door lock without coding.