Outdoor IP Security Camera Automatic Greetings
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Solution Overview
Problem
Conventional smart home security systems face latency issues in notifications and high false alarm rates due to low quality of service and environmental factors, which can lead to delayed responses to potential threats.
Innovation Solution
An outdoor IP security camera system that includes a camera sensor and processor for real-time video analysis, automatic greetings, and intelligent security responses, such as selective notification and machine learning-based classification of visitors, to reduce false alarms and enhance timely intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional smart home security systems use cloud servers and proprietary servers for notifications, then the system can provide remote notification functionality, but the notification latency increases and quality of service deteriorates
Solution Approach 1:
The patent extracts the notification delivery function from the cloud server infrastructure and implements it directly at the camera device. The camera device locally determines visitor status, selects appropriate responses, and sends notifications through multiple parallel channels (SMS, email, push notifications) without routing through intermediate servers, thereby eliminating server latency and improving notification delivery reliability.
Solution Approach 2:
The system performs preliminary actions by pre-configuring multiple notification channels and response strategies at the camera device before events occur. The device maintains local copies of visitor information, response protocols, and notification templates, enabling immediate notification delivery without waiting for cloud server processing or user device connection.
2Loss of information
If the system sends notifications for all detected events, then the user receives complete event information, but the number of false alarms increases and user attention is diluted
Solution Approach 1:
The camera device performs local quality assessment by analyzing video frames and determining visitor status (friend vs. stranger) using stored visitor information and machine learning models. The device selectively sends notifications based on this local assessment, ensuring only relevant events are communicated to the user while filtering out false alarms from environmental factors like animals or objects.
Solution Approach 2:
The system implements feedback mechanisms where the camera device continuously learns from user interactions and adjusts its notification criteria. User feedback about false alarms or missed events is processed to refine the machine learning models and visitor classification algorithms, improving the accuracy of future notifications over time.
Data Source
AI summary
An apparatus comprising a camera sensor and a processor. The camera sensor may be configured to capture video data of an area of interest. The processor may be configured to (i) process the video data, (ii) generate control signals used to initiate security responses and (iii) execute computer readable instructions. The computer readable instructions are executed by the processor to (a) determine an activation state for the security responses, (b) determine a status of a visitor in the area of interest in response to an analysis of the video data, (c) select one of the control signals to initiate the security responses based on (i) the status of the visitor and (ii) the activation state and (d) determine a reaction of the visitor in response to the security responses.