Acoustic Presence Detection TRIZ Cases

Multi-sensor cabin monitoring combines vibration, temperature, CO2, and thermal imaging to detect unattended occupants and unsafe driving with fewer false alarms.

Dual port and starboard acoustic sensors let an AUV detect buried object offset and steer faster along seabed targets.

Compact deployable generators use acoustic and magnetic signatures to jam or trigger undersea mines without explosive AUV payloads.

Frequency-domain envelope thresholds adapt to wind and rain noise in fiber sensing, cutting false alarms without missing real intrusions.

An inclined ultrasonic path with a reflection surface and waveguide avoids mesh clogging, easing cleaning while maintaining sensing sensitivity.

Embedded fiber optic sensors detect boundary vibrations in remote areas, enabling real-time intrusion alerts and responsive tracking.

Adaptive piston-driven acoustic emissions are adjusted from marine mammal detection feedback to support seabed exploration with less disturbance.

Viscoelastic cushioning slows fiber recovery after deformation, prolonging signals for enhanced detection under high stress.

Fiber optic sensors integrated into soil or barrier substrates provide continuous boundary surveillance and responsive intrusion alerts.

Viscoelastic tuning prolongs fiber optic sensor deformation to amplify detection signals.

Ground, boom, foot, wind, and power-line sensing helps keep the pump's center of gravity within a safe volume.

This acoustic transducer uses segmented, opposite-polarity elements to increase acoustic energy and flatten frequency response.

Mounted to structures, AI sensor nodes compare filtered audio levels to detect concealed tunneling and pest activity early.

Magnetic attachment eliminates mechanical fasteners and reduces assembly time while minimizing antenna detuning.

A vibration sensor system differentiates actual object contact from pressure wave noise using calibrated frequency ranges.

A pulse wave object detection apparatus calculates an adaptive threshold from low-pass filtered reflected signals to identify targets without cameras.

Multi-scale Symbolic Time Series Algorithm denoises seismic signals and classifies human activities, reducing false alarms in unattended ground sensors.

A computerized method estimates minimum sonic sources using bipartite graph maximum matching on temporal and spatial confidence intervals.

Existing subterranean infrastructure induces acoustic energy to resolve imaging contradictions with ceramic or plastic objects and difficult source placement.

Spaced acoustic nodes propagate signals through pipeline walls, bypassing radio attenuation and eliminating wire installation needs.

Multi-sensor fusion estimates hidden hazard presence probabilities using neural networks, resolving line-of-sight detection limits.

Autoencoder segmentation isolates specific data channels to improve measurement precision while managing device complexity in earthquake forecasting systems.

Normal moveout correction aligns noisy seismic traces to define a precise first arrival selection range, resolving reliability issues in marine surveys.

Machine learning models map diagenetically cemented geobodies to resolve misclassification of tight reservoirs.

Monitoring system detects cetacean vocalizations using a receiver array to position marine mammals during seismic surveys.

Dynamic sampling precision reduces energy consumption in wireless seismic sensors while maintaining reliable threat detection.

Passive sensing system measures subsurface soil gas pressure fluctuations to detect tunneling activity.

A gunshot sensor merges infrared radiation detection with acoustic wave analysis to identify firearm discharges in indoor spaces.

Hierarchical 2D histogram compression reduces review time for large marine and terrestrial acoustic datasets while preserving detailed spectrogram access.

A deep learning module analyzes raw waveform data to identify acoustic events along deployed fiber networks without additional sensors.

A passive sensor detection system uses an array of resonant mechanical sensors to identify target signature frequencies without active power.