Help LoopCam learn from one real set.

LoopCam improves fastest from specific field notes: the exercise, true rep count, app count, phone placement, lighting, and whether the app warned when the camera view was not good enough.

Before the set

A useful test starts with a controlled setup. The iPhone should be stable, the body should stay visible through the full movement path, and only one person should be in frame. A boring background and steady light make the result easier to interpret.

Setup notes

  • Exercise or movement tested.
  • Phone distance from the body.
  • Phone height and angle.
  • Lighting quality and background.

Count notes

  • Reps performed by the tester.
  • LoopCam count at the end of the set.
  • Any missed rep or double count.
  • Whether recording or overlay controls helped.

Trust notes

  • Whether LoopCam asked for better framing.
  • Whether the warning arrived too early or too late.
  • Whether the count felt trustworthy enough for another set.
  • One movement the tester wants supported next.

What not to send

LoopCam does not need personal medical details, injury history, or sensitive fitness records for this feedback loop. Workout videos should stay local unless the tester intentionally chooses to share a clip for support.

Why this format matters

Generic praise does not reveal whether camera rep counting is reliable. A structured note can show whether the problem came from phone placement, lighting, unsupported movement, person detection, or the counter logic itself.

Copy the feedback fields

Exercise, reps performed, LoopCam count, phone distance, phone height, angle, lighting, warning behavior, and one movement to support next. Email is optional; the checklist still works as a note template if email forwarding has not been verified yet.

Send structured notes Run the 10-rep accuracy check