Camera Programming via Madlib Templates for Intruder Detection
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Solution Overview
Problem
Existing security and automation systems often struggle to provide reliable detection and classification of persons within or relative to a physical environment, leading to inadequate security operations.
Innovation Solution
A computing device associated with a security and automation system programs a camera-enabled device using a madlib style format, allowing users to select fields on a user interface to modify settings, such as object detection mode, deterrence mode, duration, alarm tone, light pattern, and schedule, for efficient custom rule programming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional programming methods are used for camera-enabled devices, then comprehensive detection and classification capabilities can be achieved, but the system complexity and difficulty of configuration increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary between the user and the camera-enabled device. The server stores multiple preset programming formats (templates) that users can select, eliminating the need for users to directly program complex detection and classification parameters. This intermediary approach maintains comprehensive detection capabilities while significantly simplifying user interaction.
Solution Approach 2:
The system pre-configures multiple programming formats with different detection and classification settings stored on the server. These preset formats are prepared in advance based on various security scenarios, allowing users to simply select from predefined options rather than configuring each parameter manually, thus reducing programming complexity while maintaining detection reliability.
2Ease of operation
If users directly configure device settings through detailed parameters, then precise control over detection and deterrence functions is achieved, but the time and effort required for configuration increases
Solution Approach 1:
Multiple programming formats with different detection modes, deterrence settings, and classification parameters are pre-configured and stored on the server. Users can quickly select from these preset formats based on their specific needs, dramatically reducing the time and effort required for configuration compared to manual parameter-by-parameter setup.
Solution Approach 2:
The server stores multiple programming formats that can be applied to different camera-enabled devices and security scenarios. This universal approach allows a single configuration system to handle various detection and deterrence requirements across different devices and situations, improving ease of operation while reducing configuration time.
3Reliability
If camera-enabled devices maintain continuous communication with the system, then real-time monitoring and control are achieved, but power consumption increases
Solution Approach 1:
The system implements periodic or event-triggered communication between the camera-enabled device and the server rather than continuous communication. The device can enter low-power states between communication events, reducing overall power consumption while maintaining real-time monitoring capability when needed. This is achieved through the server managing communication schedules and triggering updates only when necessary.
4Adaptability or versatility
If comprehensive programming options are provided for all device functions, then full customization capability is achieved, but the user interface complexity and difficulty of selection increase
Solution Approach 1:
The patent segments the programming interface into multiple distinct formats, each representing a different detection and deterrence scenario. Instead of presenting users with a single complex form containing all possible parameters, the interface is divided into manageable format options (e.g., first format, second format, third format), each with its own specific settings. This segmentation maintains full customization capability while reducing interface complexity by organizing options into logical groups.
Data Source
AI summary
Methods, systems, and devices for intruder detection are described. A security and automation system may include a camera configured to monitor a zone of a premises. The security and automation system may detect a person in the zone, for example using the camera, a motion sensor, or another sensor. The security and automation system may determine that the person has remained in the zone for a threshold duration. The security and automation system may generate a notification (e.g. an audiovisual notification) based on determining that the person has remained in the zone for the duration. In some examples, the notification may include a verbal message, a flashing light, etc., to indicate to the person that video recording was initiated. The techniques described herein may inform an intruder that video is being recorded, which may discourage an intruder from an intended action (e.g., theft, property damage, etc.), among other benefits.