1) Ultimately video data will probably replace motion sensors in undergrad mechanics labs, especially because it is easy to go to higher precision. R: yes, no doubt

2) While image processing is a useful skill to learn, it's just one skill of many need to master (or barely survive) the physics lab. R: I don't think you get the idea here. The notebook I developed serves more as a tool, as well as a sensor or a caliper, to acquire accurate data from physics experiments, the latter being the real target of study. In other words, after capturing the movement data, the student must perform all the analysis, which, in my course, involves curve fitting from mathematical models to experimental data. The case illustrated in the notebook outputs is just an example applied to the case of the damped pendulum launched from high angles. But this notebook can be used for many other experiments.

3) The success of your experiment will be judged in terms of results. R: Sure. But once again, the notebook stands for capturing precise data from moving objects in a video. The results are quite good. Please try and let me know.

4) How well can you fit the shape of non-linear period vs. energy data? I don't know anyone who has done better than Chapter 2, Section 5, Figure 2.19 of this dissertation: https://www.proquest.com/docview/2489352408. R: I still need to get into this subject. Seems interesting