Visual gesture detection project: Independent evaluation of hand gestures from live camera images using AI to identify the symbolism

Activity: Other


The aim of the project is to be able to play the well-known game of "rock-paper-scissors" against the computer or AI. Using artificial intelligence and a camera, the player's hand is to be captured, the planned gesture is to be analyzed in its development process and a decision is to be made in time for the higher-value gesture in order to always win the game from the AI's point of view.
The decision must be made quickly so that the result can be displayed visually without delay.
An embedded hardware platform, the NVIDIA® Jetson™ TX2 Developer Kit, is used for the implementation. This provides sufficient computing power in the form of CPU and GPU.
Period1 Oct 201930 Jun 2021
Degree of RecognitionRegional