The ADT Security Corporation (20240331386). VIDEO AND AUDIO ANALYTICS FOR EVENT-DRIVEN VOICE-DOWN DETERRENTS simplified abstract
Contents
VIDEO AND AUDIO ANALYTICS FOR EVENT-DRIVEN VOICE-DOWN DETERRENTS
Organization Name
Inventor(s)
Philippe Sawaya of New York NY (US)
Candace Brown of Dallas TX (US)
Amy Cooper of Burleson TX (US)
Tarmily Wen of Philadelphia PA (US)
Andrew O’connor of Los Angeles CA (US)
VIDEO AND AUDIO ANALYTICS FOR EVENT-DRIVEN VOICE-DOWN DETERRENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331386 titled 'VIDEO AND AUDIO ANALYTICS FOR EVENT-DRIVEN VOICE-DOWN DETERRENTS
The abstract describes a control device in a premises security system that utilizes machine learning to analyze video surveillance data, identify triggering events, persons associated with these events, and characteristics of these individuals. The device then generates and plays back an audio message in the area of the premises based on the identified characteristics.
- Utilizes machine learning models to analyze video surveillance data in a premises security system
- Identifies triggering events and persons associated with these events
- Determines characteristics of the individuals using machine learning
- Generates an audio message based on the identified characteristics
- Plays back the audio message in the area of the premises
Potential Applications: - Enhanced security in residential and commercial properties - Personalized alerts and notifications based on individual characteristics - Improved response times to security incidents
Problems Solved: - Enhances the effectiveness of security systems by providing targeted alerts - Increases the accuracy of identifying individuals involved in security incidents - Improves communication within the premises during security events
Benefits: - Increased security and safety for occupants of the premises - Customized alerts and messages for specific security situations - Efficient utilization of machine learning technology in security systems
Commercial Applications: Title: "Enhanced Security Control Device for Premises" This technology can be applied in various commercial settings such as: - Office buildings - Retail stores - Banks - Hospitals
Questions about the technology: 1. How does the control device differentiate between various triggering events? 2. What are the privacy implications of using machine learning to identify individuals in a security system?
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for security systems to enhance the accuracy and efficiency of the control device.
Original Abstract Submitted
a control device in a premises security system for a premises is provided. the control device is configured to receive video surveillance data associated with an area of the premises, identify, using at least one machine learning model, a triggering event based at least in part on the video surveillance data, identify, using the at least one machine learning model, and based at least in part on the video surveillance data, a person associated with the triggering event, identify, using the at least one machine learning model, at least one characteristic of the person associated with the triggering event, generate an audio message comprising content based at least in part on the at least one characteristic of the person associated with the triggering event, and cause playback of the audio message in the area of the premises.
