Image Enhancement TRIZ Cases

A central computer detects unattended stationary carts and dispatches a motorized unit to attach, retrieve, and return them inside the store.

Indoor cart location is derived from detected light source IDs and optical distance data, enabling autonomous retail assistance without extra staff.

Centralized motorized carriers automate customer assistance and store upkeep, reducing staff load while keeping retail spaces clean and responsive.

Separating Z-yarns from 3D woven fabric images enables faster, accurate X- and Y-yarn orientation analysis for composite product inspection.

Camera-based mapping links the real room to a virtual view, enabling precise remote robot cleaner positioning and intuitive control.

Camera-based mapping and recognition marks let users locate and wirelessly steer a robot cleaner precisely from a distance.

A ceiling-mounted camera captures both shelf and drawer regions, then separates the images to cut door openings, energy loss, and camera count.

Different spectral emissions separate garments from nearby mannequins, enabling accurate alpha mattes with less manual editing.

Virtual markers inserted into preoperative 3D scans improve 2D fluoroscopy registration accuracy without invasive physical fiducials.

Reflective markers and an emitter-sensor panel simplify fume hood sash calibration while accurately calculating sash opening area.

By placing the camera in the oven door handle, this case avoids chamber heat exposure while keeping a stable, clear view through the door glass.

Authorized override control lets store staff direct motorized transport units beyond normal limits for cart handling, inventory moves, and customer support.

Automatic switching between overlapping human detectors improves presence detection in bright or dark conditions without extra brightness sensors.

Radial image evaluation locates cigarette end contours and circle centers without stored reference patterns, improving high-speed defect checks.

Weight sensors and beverage identification estimate drink calories automatically, avoiding complex user interaction in social settings.

Auto-cropped dose images enable remote pharmacy verification, accurate digital records, and lower image storage without losing resolution.

A ceiling-mounted camera splits drawer and shelf images to track stored food without door-open viewing, reducing energy loss and missed items.

A ceiling-mounted camera captures both drawer and shelf regions, letting users check stored food without opening the refrigerator door.

A ceiling-mounted camera captures both shelf and drawer food areas, then separates the images to reduce door opening and power use.

A ceiling-mounted camera captures drawer and shelf regions in one frame, giving food visibility without door opening and reducing cooling loss.

Event-driven refrigerator imaging captures drawer and shelf regions without door opening, cutting power use and avoiding dew-blurred views.

A user photo lets the robot identify a target area on the room map, avoiding manual map navigation and speeding clean-or-avoid commands.

Autonomous transport units align under shopping carts, lift selected wheels, and reduce manual cart retrieval and in-store assistance load.

A ceiling-mounted camera captures drawer and shelf regions in one shot, then separates the images to reduce door opening, energy loss, and camera count.

Infrared sensing and image processing automate toilet lid opening and seat flipping to avoid hand contamination during use.

Optical recognition and distance sensing identify food and placement, then verify cooked quality against stored images to prevent wrong cooking cycles.

Sensor-guided nozzles target fabric surface deviations to deposit only where needed, improving application precision while reducing material waste.

Distributed recharge stations and central power monitoring keep motorized transport units available while reducing manual charging effort.

Reference markings let a refrigerator camera correct distortion, crop to a common view, and compare interior images from different angles.

Sensors and motorized transport units dispatch empty carts to shoppers and recover abandoned containers to cut staff workload and keep aisles organized.

Video analysis compares cart images with non-suspicious references to flag likely unscanned items and cut manual transaction review time.

A ceiling-mounted camera captures drawer and shelf regions in one shot, letting users check stored food without opening the door.

Multiple spectral images separate garments from mannequins to generate accurate alpha mattes and body models, even for semi-transparent fabrics.

Video analysis of checkout footage flags items left in shopping carts, cutting manual review time and missed-scan losses.

Optical pattern imaging tracks occupant position and distance so air conditioners can adjust wind direction and strength with lower power use.

Video analysis flags items left in shopping carts, reducing manual footage review and helping retailers catch unpaid products.

Image segmentation and color-blob tracking let a floor-cleaning robot find dirty areas and prioritize cleaning paths over already clean surfaces.

A detachable brewing module separates wear-prone parts from the drive unit, speeding cleaning and replacement while reducing coffee machine downtime.