Vehicle Camera Imaging for On-Demand Remote Location Access
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Solution Overview
Problem
There is a need for users to access real-time video or imaging of remote locations without the practicality of installing and maintaining imaging systems, especially in non-developed areas, which existing technologies have not effectively addressed.
Innovation Solution
A system and method that utilize cloud-connected vehicles equipped with cameras to provide on-demand media services, where vehicles broadcast imagery to a cloud service, accessible through a mobile device application, with optional security mechanisms like geo-fencing and personalized access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users install and maintain imaging systems in remote locations, then real-time video access is achieved, but installation complexity and maintenance burden increase
Solution Approach 1:
The patent uses cloud-connected vehicles as intermediaries between users and remote locations. Instead of users directly installing imaging systems, they access video feeds from vehicles that pass through or near areas of interest. The vehicle-based imaging system acts as a mobile intermediary that provides remote location coverage without requiring permanent installation at the destination.
Solution Approach 2:
The system creates virtual copies of remote locations by capturing and transmitting video feeds from vehicles to cloud servers, which then make the feeds accessible to users. Users access a digital representation (copy) of the remote location through the cloud platform rather than physically being present or installing equipment there.
2Adaptability or versatility
If cloud-connected vehicles with cameras are used to provide on-demand media, then access to remote locations is improved, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional system where cloud-connected vehicles serve multiple purposes: they function as regular transportation vehicles while simultaneously acting as mobile imaging platforms. The same vehicle provides both transport service and video feed service, eliminating the need for dedicated imaging infrastructure and reducing overall system complexity.
Solution Approach 2:
Vehicles in the system automatically broadcast their imagery to the cloud service without requiring manual intervention. The imaging system is self-contained and autonomously transmits data, reducing the operational burden on users and simplifying the interaction model.
3Reliability
If security mechanisms like geo-fencing and personalized access control are added, then security is enhanced, but system complexity increases
Solution Approach 1:
The system pre-establishes geo-fences and access control rules before users request video feeds. Areas of interest are predetermined and secured in advance, allowing the system to automatically filter and manage access requests based on pre-configured parameters rather than handling security decisions in real-time.
Solution Approach 2:
The system implements feedback mechanisms where access control decisions are continuously adjusted based on user requests, vehicle locations, and geo-fence conditions. The cloud service monitors and manages access dynamically, providing feedback loops that enhance security while maintaining automated operation.
Data Source
AI summary
On-demand vehicle imaging systems and methods are provided herein. An example method includes receiving a first request to obtain an image or video of a target location from a requesting party, determining a vehicle located within a specified distance from the target location, transmitting a second request to the vehicle to obtain the image or video of the target location using a camera of the vehicle, the second request including an identification of the target location, performing at least one aspect of image processing to blur, block, or obscure at least a portion of the image, and transmitting the obtained image or video of the target location to the requesting party.