The Object Recognition project by product designer Tim Brouwer is an experimental research that shows how machines are seeing archetypes in order to recognize what they see. The tangible result of his research is a table lamp whose shape derives from the overlapping of the best-known table lamps in contemporary Western culture.
Object Recognition
Product designer Tim Brouwer is carrying on the Object Recognition project, an experimental research work where he analyzes the way machines recognize objects.
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- 14 June 2017
- Haarlem
The archetypal object, therefore, results by combining several objects into one and can be recognized as a desk lamp thanks to a recognition system (like the ones used by Tesla and Facebook). When a machine sees an object, the recognition system will first reduce the noise in order to detect the essence of the object. When this matches with an archetype found in its database, it can recognize it, but when the ‘essence’ is distorted or added with the wrong data, the object won’t be recognized. This is demonstrated by the fact that if two blurred images aren’t perfectly identical, the recognition system highly believes that one of them is a desk lamp and the other one a ping-pong ball.
Object Recognition
Design: Tim Brower
Year: 2017