Angle Measurement TRIZ Cases

See how camera-based region feature extraction enables robust position recognition in moving ro

See how an inclination sensor and automated correction device adjust roll cleaning member align

A camera and theoretical image overlay speed heliostat facet alignment and focus, improving accuracy despite changing sun positions.

Ephemeris-based sun-angle commands and Hall-sensor motor feedback keep solar arrays aligned while removing external sensors, calibration, and upkeep.

Off-axis camera images and theoretical receiver overlays align parabolic trough mirrors accurately, cutting spillage losses and installation effort.

Digital photos and inclinometer data align solar collector mirrors to a common receiver reference, cutting setup complexity and cost.

Centralized main and auxiliary boards in a prism-based binocular telescope simplify assembly, maintenance, and light path calibration.

By fusing resolver and motor encoder signals, this case stabilizes gimbal position feedback while preserving high-dynamic motor control.

A non-contact sensor reads keyed accessory features to avoid hardwired detection, cut complexity, and reduce high-power signal interference.

Neural implicit scene modeling lets LiDAR estimate sensor pose accurately in dynamic environments without camera input.

Segmented convex lens sections and an internal opaque cross let a flat windshield sensor calculate sun position without raised dome styling.

A prism-linked optical path and centralized sensor boards simplify telescope assembly, maintenance, and light path calibration.

An SPPR-generated optical vortex enables non-contact roll, pitch, and yaw measurement on curved or rotating surfaces with high precision.

A shifted 2D detector array uses interpolation to offset geometry errors and improve azimuth and elevation angle resolution without larger apertures.

A tensioned cable and direction sensing let an unmanned aircraft determine distance and orientation where GPS and other radio positioning fail.

Point cloud and IMU fusion corrects mobile robot pose on potholes and doorsills, improving attitude accuracy with low computing demand.

Real-time display of roll, pitch, yaw, and thrust limits helps eVTOL pilots recognize remaining control margins without haptic actuators.

Plans field tracks and refill trajectories together to cut turns, servicing time, travel distance, and fuel use for autonomous vehicles.

Centroid tracking from landing gear position data enables non-intrusive, real-time steering angle measurement with fewer sensors and lower latency.

Dividing the work region into subregions lets an automatic mower vary direction and sequence paths to reduce lawn marks, turns, and travel time.

Indoor map-based node planning applies social norms to route robots around people, reducing collisions while keeping movement efficient.

Real-time pose models and laser roof sensing let hydraulic supports adjust prop lengths and roof attachment to manage subsidence.

A smartphone inclinometer on a hookspanner gives real-time angle feedback for accurate bearing locking nut tightening on adapter sleeves.

A triangular infrared laser sheet with tilt sensing improves over-height vehicle detection while cutting false alarms and installation cost.

A switchable locking member and worm drive let an equatorial mount maintain precise tracking while enabling fast telescope repositioning.

Contour points, gradient directions, and angle histograms replace random pose sampling to improve mobile robot global localization accuracy.

A high-frequency clock and linear approximation resample asynchronous sensor data to cut periodic noise and improve IMU output accuracy.

Delayed sinusoidal reconstruction replaces pulse stages in TACAN signals to cut jitter and phase error, improving bearing angle accuracy.

A single parallel read across multiple toggle MRAM cells enables burst writes by comparing buffered states with incoming data.

Laser distance and angle sensing calculate midpoints on uneven or obstructed surfaces, then project light to mark them accurately.

Centripetal acceleration direction lets an IMU track excavator swing boom angle without gravity-based drift or extra angle sensors.

Dual inertial sensors detect fold angle and posture to switch display modes automatically in foldable displays for smoother use.

Dual inertial sensors detect fold angle and posture to switch display modes automatically, improving usability and power management.

Tilt and horizontal rotation calibration correct column-type load cell misalignment, improving weighing accuracy in complex scenarios.

Centripetal acceleration direction lets an IMU track excavator swing boom angle with less drift than gravity- or gyro-only methods.

Low-power sensor units track housing orientation during sleep, enabling accurate lid angle estimation in upright and non-steady states.

Non-intrusive lidar point clouds and centroid tracking determine aircraft landing gear steering angle with lower latency and high accuracy.

Dual inertial sensors detect fold angle and device posture to switch display modes automatically across multiple screens.

Radio distance data adds spatial position to gyroscope and accelerometer sensing, improving machine movement monitoring without extra sensors.

Distance- and angle-based correction keeps PTZ camera privacy masks aligned despite lens and rotation axis offset, reducing over-masking.

Combining surrounding images with speed and steering data helps distinguish true moving objects from motion caused by the vehicle itself.

Continuous temperature-adaptive bias correction improves azimuth accuracy when vehicles stop infrequently or face changing temperatures.

Multiple IMUs and angular velocity ratios let excavators measure swing boom angle accurately without gyro drift or wire sensors.