Sensing By Electromagnetic Radiation TRIZ Cases

Frequency-shift mapping lets Ambient IoT devices self-select D2R access resources, cutting signaling overhead and latency.

Edge and binarization checks flag damaged code modules before decoding, helping optical readers correct more defects and avoid read failures.

A resonant parasitic element overlaps the antenna and ground plane to preserve reading range when a thin plate-shaped housing is worn near the body.

Bidirectional reader communication lets sealed RFID antenna units receive firmware updates without opening metal enclosures or adding connectors.

Filters closely presented QR codes by checking preset conditions, so only intended services run and unintended codes are shown to users.

Neural-network segmentation plus classical image processing adapts to height and contrast changes to raise read rates and cut false positives.

Evenly spaced illumination and dummy-light timing reduces flicker during optical code reading while preserving exposure for capture.

An electrochromic layer adjusts light diffusion from image feedback to suppress reflections and improve barcode decoding across varied surfaces.

Quiescent RFID time slots cut tag collisions and let readers offload data between reads, improving throughput in crowded scans.

Automatically zooms on barcodes when frame position and image criteria indicate distant codes, reducing manual zooming on mobile scanners.

An optical sensor in the scanner handle distinguishes hand use from transport, reducing false wakeups and battery drain.

Low-resolution mapping isolates shelf labels from robot images, cutting storage while preserving accurate real-time inventory tracking.