EV Front Trunk Camera Monitoring for Delivery and Anti-Entrapment

The system performs preliminary actions by capturing images of the front trunk interior before delivery and continuously monitoring during the delivery process. The camera system is pre-positioned to capture the entire frunk space, and the controller is pre-programmed to compare incoming images with the baseline image to detect any changes that might indicate human presence, thereby preventing entrapment before it occurs.

The system implements feedback by continuously capturing images with the camera, comparing them against the baseline image stored in memory, and generating alerts when discrepancies are detected. The controller receives real-time feedback from the camera system and communicates with the remote device to notify the delivery service provider of any potential entrapment situations, enabling immediate corrective action.

The camera system is designed with multi-functionality to justify its inclusion. The same camera that captures images for entrapment prevention can also verify package delivery, monitor frunk usage patterns, and provide visual evidence for security incidents. The controller performs multiple functions including image capture coordination, baseline image storage, real-time image comparison, and communication with remote devices, making the system versatile rather than specialized.

The system implements self-service by automatically capturing baseline images, continuously monitoring the frunk interior, comparing images against the baseline, and generating alerts without requiring constant human intervention. The controller autonomously manages the camera operations, stores images in memory, and communicates findings to the remote device, reducing the operational complexity despite the added hardware.