Adaptive Layered Soundscapes for Entity-Specific Event Deterrence
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Solution Overview
Problem
Conventional security systems emit static sounds that become commonplace, failing to effectively deter entities from perpetrating events due to lack of entity-specific responses and resource wastage from false alarms.
Innovation Solution
A system that detects entities using various sensors and image recognition, determines their type, and generates customized, layered sounds to create a realistic soundscape, adjusting sound frequency and intensity based on entity response to enhance deterrence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static sounds are emitted to deter entities, then the system is simple to operate, but the effectiveness deteriorates over time as sounds become commonplace
Solution Approach 1:
The system dynamically generates sounds by layering multiple audio tracks (ambient noises, conversations, household sounds) rather than playing static pre-recorded alerts. The composition of sounds changes based on entity characteristics, creating adaptive auditory responses that maintain effectiveness over time
Solution Approach 2:
The system varies multiple sound parameters including frequency, volume, duration, and composition of layered audio tracks. By changing these parameters based on entity type and behavior, the system prevents entities from becoming accustomed to predictable alert patterns
2Reliability
If sounds are emitted for all detected entities, then no entity is missed, but resource wastage increases due to false alarms
Solution Approach 1:
The system applies different sound responses to different entity types. Friendly entities receive no sound or minimal response, while suspicious entities receive customized layered audio compositions. This selective application of sound based on local entity characteristics reduces unnecessary energy consumption
Solution Approach 2:
The system monitors entity responses to emitted sounds and adjusts subsequent audio outputs accordingly. By analyzing whether entities respond to initial sounds, the system can escalate or de-escalate audio responses, optimizing energy usage while maintaining detection effectiveness
3Ease of manufacture
If generic sounds are played for all entities, then the system is simple to implement, but the ability to deter specific entities deteriorates
Solution Approach 1:
The system segments entities into different categories (friendly, suspicious, aggressive) based on detection criteria, and applies different sound strategies to each segment. This segmentation enables customized responses without requiring complex individual analysis of each entity
Solution Approach 2:
The system uses a universal library of audio tracks that can be combined in multiple ways to create entity-specific responses. The same basic sound elements (conversations, ambient noises, alerts) serve multiple functions by being layered and configured differently for various entity types
Data Source
AI summary
Presented herein are system and methods for generating overlayed sounds to deter perpetration of an event A system can include an image capture device and one or more processors coupled with memory. The system can detect an entity within an area. The system can determine that the entity corresponds to one or more criteria. The system can identify a first sound corresponding to the one or more criteria and a state of the area. The system can play, by a speaker device, the first sound to deter the entity from perpetrating an event within the area. The system can identify a second sound corresponding to the one or more criteria, the state of the area, and the first sound. The system can play, by the speaker device, the second sound to deter the entity from perpetrating the event.