The ADT Security Corporation (20240212476). ALARM SYSTEM FACIAL RECOGNITION simplified abstract
Contents
ALARM SYSTEM FACIAL RECOGNITION
Organization Name
Inventor(s)
Steven Else of Deerfield Beach FL (US)
Jatin Patel of Boca Raton FL (US)
ALARM SYSTEM FACIAL RECOGNITION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212476 titled 'ALARM SYSTEM FACIAL RECOGNITION
Simplified Explanation: The patent application describes a premises security system that uses a 3D depth sensor and a camera to analyze facial characteristics and gestures to determine emotional states of individuals for security actions.
- The premises device includes a 3D depth sensor, camera, and processing circuitry.
- A 2D template of a face is generated based on the camera image, indicating facial characteristics.
- A 3D mapping of the facial characteristic is created using data from the 3D depth sensor.
- Emotional states or facial gestures are determined based on the 3D mapping.
- The security system takes security actions based on the determined emotional states or facial gestures.
Potential Applications: 1. Enhanced security systems for homes and businesses. 2. Personalized security measures based on individual emotional states. 3. Improved access control systems using facial recognition technology.
Problems Solved: 1. Enhancing security measures by analyzing emotional states. 2. Providing more accurate identification through 3D facial mapping. 3. Customizing security responses based on facial gestures.
Benefits: 1. Increased security effectiveness. 2. Personalized security measures. 3. Improved access control accuracy.
Commercial Applications: Facial recognition technology for security systems in residential and commercial settings.
Questions about Facial Recognition Technology: 1. How does the 3D depth sensor improve facial recognition accuracy? 2. What are the potential privacy concerns associated with this technology?
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Original Abstract Submitted
a premises device associated with a premises security system includes a three-dimensional (3d) depth sensor and a camera and processing circuitry in communication with the camera and the 3d depth sensor. the processing circuitry in the premises device generates a two-dimensional (2d) template of a face based on an image captured by the camera. the 2d template indicates a facial characteristic associated with the person's face. a 3d mapping of the facial characteristic is generated using data from the 3d depth sensor. at least one of an emotional state or facial gesture is determined based on the 3d mapping. the premises security system performs a security action based on the at least one of the determined emotional state or facial gesture.
