Squat
Alpha · now- Plate and load recognition
- Rep and set counting
- Bar path tracking
- Depth classification
LiftSense uses computer vision and on-site AI to capture every rep, set, load and bar path on the gym equipment you already have. No wearables. No manual logging.
Logging every set by hand interrupts the workout, so most lifters don’t do it. The tools that exist weren’t built for the barbell.
Typing sets into an app between reps is tedious. Miscounted reps and forgotten weights mean lost progress.
No one can watch every rep of every athlete. Load, depth and bar path go unmeasured.
Wearables track steps, heart rate and sleep, not the barbell. Owners have little insight into their strength floor.
We’re starting with the two stations where tracking matters most, and where shared gym conditions are hardest: changing light, plates hidden behind plates, and spotters in the frame.
A fixed camera and an on-site edge computer turn each lift into structured training data. Nothing to wear, nothing to type.
A camera clamps to the upright, no drilling, and sees the bar, the plates and the lifter without getting in the way of lifting or spotting.
camera → 1080p · fixed mountObject detection identifies each plate to calculate load. Pose and motion tracking segment reps, follow the bar path and check depth.
detect → plates · bar · poseThe lifter sees the set live at the rack and in their own app. Coaches and gym operators review trends on a dashboard.
sync → member app · coach viewSquat load is up 18% from last week. Consider 205 lb today.
Every lifter who opts in gets their own app, filled automatically from the rack.
Every set, rep and weight captured at the rack lands in the lifter’s training log.
Which muscle groups to train next, based on what they’ve done and how recently.
Flags when weight or reps jump too far too fast, to help lifters avoid overtraining.
Member app in development. Suggestions are training guidance, not medical advice.
LiftSense is built so members stay in control of their data.
We’re preparing a controlled pilot at a partner gym in Colorado.
Plate detection framework, load calculation, lifter ID and annotation tooling.
Integrated camera, edge compute and app running the squat pipeline.
One rack in a partner gym with real members and coach feedback.
A second movement pattern, spotter occlusion and repeated sessions.
LiftSense is developed with CO-Innovate, a Denver product-development and advanced-manufacturing firm.


Do you run a gym, coach athletes or invest in sports technology? We’re looking for pilot partners and early supporters.