Vehicle Object Recognition for Forgotten Item Exit Alerts
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Solution Overview
Problem
There is a need for a system to alert users about personal objects left behind in a vehicle, as existing technologies do not effectively address this issue.
Innovation Solution
A system comprising sensors and a processor that identifies users and detects objects within a vehicle, monitors their presence using image analysis, and provides an alert notification when the user exits, utilizing a user profile and dynamic tracking to ensure accurate detection and notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensors and image analysis are used to detect objects and notify users, then user awareness of forgotten objects is improved, but device complexity increases
Solution Approach 1:
The system divides the detection task into multiple segments: sensors detect object presence, image analysis verifies object characteristics, user identification confirms ownership, and notification delivers alerts. This segmentation allows each component to specialize in one function, improving overall detection accuracy while making the complex system more manageable and maintainable
Solution Approach 2:
The system introduces an intermediary processing layer that bridges raw sensor data and user notifications. This intermediary layer performs image analysis, object recognition, and user profile matching, transforming complex sensor inputs into meaningful alerts. The intermediary approach filters false positives and reduces notification complexity by pre-processing data before reaching the user interface
2Measurement precision
If dynamic tracking and continuous monitoring are implemented, then detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic monitoring instead of continuous tracking, activating sensors and image analysis at key moments such as when the vehicle is parked, when users exit, or when objects are detected. This periodic approach maintains detection accuracy for forgotten objects while significantly reducing energy consumption during vehicle operation or idle periods
Solution Approach 2:
The system performs preliminary object detection and user identification before the user actually exits the vehicle. By detecting objects and matching them with user profiles in advance, the system prepares notification data beforehand, allowing for accurate alerts with minimal energy expenditure at the moment of user exit
Data Source
AI summary
According to an embodiment, disclosed is a system comprising one or more sensors; and a processor storing instructions in a memory that, when executed, cause the processor to identify, a user from one or more users of a vehicle, based on a user profile comprising a user identification detail; detect, a presence of one or more objects within the vehicle; monitor, the objects and the user using data from the sensors; generate, a first message based on a continued presence of the objects after an exit location of the user based on an image analysis of a first image and a second image of a portion of an interior region of the vehicle; and transmit, the first message to a user device; and wherein the system is configured for dynamic tracking of the objects and reminding via an alert notification.