In this study, we report on the use of tracker video analysis and high-speed camera as an interactive approach to study the free fall. The video camera is used to collect position and time data, which can then be used to mathematically and graphically model. Anything related to the position and motion of the object. In the experiment, we compared the objects from free-falling, woodblock and ball in two approach. The camera that recorded the motion of free fall at a frame rate up to 240 frames per second (fps), analysis of the motion is performed at different angles for the woodblock and the ball is released from the high that related in the different angles. The results were measured linear speed, angular speed and acceleration in the motion of them. At the same fulcrum point, it was found that the linear speed was changed in different angle, but it did not affect in the angular speed. The free-falling of the ball in this experiment, the distance or the displacement of a ball was proportional to the time squared and the agreement with the theory. The video analysis served as an effective means to collect, analyze, and report data and also enable the analysis of some situations that would not otherwise be possible. Deep learning adds a lot of support to the rapid development in physics classroom.
Kotchakorn Mangmee, Rajamangala University of Technology Lanna, Thailand
Jiraporn Poonyawatpornkul, Chiang Mai Rajabhat University, Thailand
Onuma Methakeson, Rajamangala University of Technology Lanna, Thailand
Stream: Multidisciplinary & Transdisciplinary Education
This paper is part of the OCE2020 Conference Proceedings (View)
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