Aiming Means TRIZ Cases

A correction method combines inertial sensor rate data with non-inertial tracker orientation references to derive accurate object orientation rates.

Location-aware transmitters emit reduced power signals indoors to filter ricochet false hits, improving hit detection accuracy during combat simulations.

A handheld integrated targeting system computes firing solutions using radar and GPS/IMU data to guide weapon operators.

Fusing radar reflections with acoustic shockwaves locates subsonic and supersonic projectiles.

Extraction of light emission from weapons allows simultaneous multi-weapon operation without interference while maintaining precise targeting accuracy.

A LIDAR system measures wind profiles and range to compute aiming parameters.

A projection module forms virtual targets while a lens module detects shot positions for accuracy evaluation.

Barcode targets enable real-time strike detection, eliminating manual inspection delays.

Machine learning algorithms predict eye and hand movements to deliver haptic, visual, and auditory feedback that compensates for stress-induced aiming errors.

A screen shooting range uses AI sensors to detect user motion and position for dynamic three-dimensional gameplay.

Image processing calculates angles between target and impact areas to refine coordinates, reducing GPS drift errors.

A cavity axis orientation measurement device analyzes reflected electromagnetic signals to determine weapon aiming direction.

Overlapping radar arrays with distinct axes calculate projectile trajectories to resolve hit location precision against device complexity.

An automated coaching system analyzes sensor data to identify shooting mistakes.