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.

A seismic tracking system uses probabilistic mixture models to extract emitter characteristics from vibration data.

Seismometer sensors embedded in flooring detect footstep vibrations to estimate occupancy and track trajectories without visual surveillance.

Distributed soil moisture sensors detect golf ball proximity via magnetometers, eliminating costly GPS hardware and reducing water consumption.

Audio receivers detect gunshots and trigger cameras to capture images, eliminating human intervention delays in alerting authorities.

An AI-driven system maps fiber optic cables by synchronizing distributed acoustic sensing data with vehicle GPS coordinates.

Automated machine learning separates low and high frequency features in ambient fiber optic signals to identify pole positions without manual labor.

A checkpointing strategy stores correlation data at selected time steps to enable recomputation of forward simulations in reverse order.

Modular underground pipe network with integrated sensors detects foreign bodies and triggers immediate alarms for rapid security response.

A marine seismic processing system separates bio-acoustic signals from source noise using dedicated processors.

Suspended raw optical fiber detects underwater disturbances via time-domain reflectometry, eliminating complex cable construction costs.

Increasing cross-line source separation reduces survey time and improves seismic data resolution.

An integrated sounding device detects cover presence via sound reverberation.

A vehicle information presentation system synchronizes virtual images and sound outputs for distinct data pieces.

Neural networks extract audio signal features to identify vehicle types, preserving privacy by removing private content from raw audio signals.

A modular processing system detects and classifies vibrational signals across diverse terrestrial environments.

Depth-resolved vibration sensor pairs compare relative signal features to identify subsurface activity while filtering surface noise.

Vibration sensors embedded in flooring detect mechanical waves from human movement to enable non-intrusive indoor activity tracking.

A sensor control device merges ultrasonic drive units into a daisy-chain bus line for bidirectional communication.

A remote sensor system processes signals based on situational parameters to filter event data.