Alarms TRIZ Cases

A torso-worn housing combines GPS, camera, microphone, speaker, and periodic transmission to improve remote supervision with manageable complexity.

Automatic clinician token detection links hand sanitation tasks to patient monitoring actions, improving compliance without manual tracking.

Gyroscope filtering and energy envelope detection separate swim strokes from rest movements, improving stroke, length, and swim time accuracy.

QR, RFID, and mobile devices auto-capture worker location so emergency alerts reach supervisors and responders without manual reporting.

Ultrasonic ranging replaces stick-length detection with configurable beeps that speed up as obstacles approach, helping prevent collisions.

Sensor and usage-pattern checks detect when a wearable is not being worn and alert an affiliated UE to reduce misplacement.

Automatic exit from no-fall-detection mode cuts false alarms from intentional lying down without leaving real falls undetected.

Sensor, location, and radio signals detect when a custodial wearable is removed and alert a parent or guardian to reduce misplacement.

Domain rules filter duplicate and trailing BMS alarms, then generative and discriminator AI test scenario plausibility to flag false alarms.

Risk-based edge control keeps electronic devices operating during disasters by deciding and issuing actions when server links fail.

Weighted sensor fusion between a watch and walking aid improves fall detection across standing and sitting postures.

Sensor-based wearables detect irregular swimming and send over-air alerts, avoiding camera blind spots, high cost, and false alarms.

Sensors and EME transducers detect open appliance door hazards and trigger light or sound alerts to reduce tripping and bumping accidents.

Real-time predictive geofencing adjusts alert zones and data rates to warn drivers of approaching emergency vehicles while conserving power.

Sequential distance-sample checks separate noise-induced errors from real object motion, improving vehicle sensing reliability in harsh conditions.

Sequential distance jumps and missing range readings are checked against thresholds to separate sensor disturbance from real object movement.

AI-based acoustic monitoring identifies and categorizes medical device alarms to reduce alarm fatigue and improve response prioritization.

Event-triggered lock alerts activate cameras and connected devices, reducing continuous monitoring effort while improving threat detection.

Strain gages track non-drive-mode vibration frequencies in a vibratory flowmeter, helping stabilize meter zero and prevent damage.

Domain knowledge plus generative and discriminator AI filters duplicate and improbable BMS alarms before operators respond.

Structured light and ToF sensing track movement velocity and path obstructions to alert caregivers to irregular travel and fall risk.

A hidden camera, electronic locking closure, and GPS alerts help guardians detect tampering and routine deviations for wearer safety.

Weak-signal monitoring tracks selected Bluetooth group members and alerts users when someone is out of range or undetected.

Passive tiered analysis combines device, biometric, and behavior patterns to track identity changes and trigger security outputs.

Sensor-driven event perimeters target emergency messages to relevant displays and audiences, reducing network overload and public confusion.

Time-series sensor features and factor analysis predict elderly state transitions, reducing constant caregiver vigilance.

Dynamic concentration, slope, and time thresholds adapt gas leak warnings to kitchens, workshops, and commercial areas to cut false alarms.

Correlates data from subscriber and secondary devices to trigger coordinated alerts, device actions, and support communication.

A housing-supported actuation arm detects removal without direct mounting fasteners, simplifying installation while maintaining tamper switch reliability.

Authorized phone proximity detection disarms the security system automatically, avoiding code-entry stress and false alarms.

By switching ad packet attributes based on missing scan requests, the device detects loss while cutting power use and server load.

Baseband and sampled signal processing estimates VSWR with fewer coupler ports, enabling mismatch alarms and lower hardware complexity.

Infrared barriers, water pressure sensing, and motion detection work together to catch pool entry quickly and trigger audible and visual alerts.

Maps invisible hazard zones around aircraft during ground operations using risk-source and context data to warn nearby personnel.

Speech-to-text and VAE analysis flag pilot readback errors and communication deviations early, improving air traffic situational awareness.

Standardized alarm templates and copied tag settings cut rationalization effort, reduce nuisance alarms, and improve consistency in control systems.

Multi-channel emergency requests are matched by address, type, and service to merge duplicate radio and CAD alerts into one validated notification.

Bridges legacy 9-1-1 call, location, and dispatch data to cloud mapping and CAD updates, reducing manual entry errors and delays.

Smart devices detect abnormal sensor data, validate it across nearby devices, and trigger emergency calls without central infrastructure.

Correlating multi-vendor sensor data with enterprise context and ML enables more accurate alerts, adaptive thresholds, and response feedback.