Cloud Image Processing for Shared Multi-Camera Displays
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Solution Overview
Problem
Existing image processing systems for applications like FPV and remote viewing require multiple devices with ISP chips, leading to high costs and low data sharing efficiency.
Innovation Solution
An image processing system utilizing a cloud serving end that processes raw image data from multiple acquisition units based on user requests, determining optimal algorithms and sharing processed data across display terminals without the need for local ISP chips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If each camera is equipped with an ISP chip for image processing, then image quality is improved, but system cost increases
Solution Approach 1:
The patent extracts the image processing function from individual cameras and concentrates it in a central server. Instead of each camera having its own ISP chip, the raw image data is transmitted to a server that performs centralized image processing, thereby eliminating the need for multiple expensive ISP chips while maintaining image quality.
Solution Approach 2:
The central server provides universal image processing services for multiple cameras simultaneously. A single server can process images from numerous cameras, making the system more cost-effective compared to having dedicated processing hardware for each camera.
2Speed
If each display terminal is equipped with image processing capabilities, then processing speed is improved, but data sharing efficiency deteriorates
Solution Approach 1:
The patent merges image processing operations into a single centralized location (the server). Multiple display terminals share the same processed image data from the server, eliminating redundant processing and enabling efficient data sharing while maintaining processing speed through optimized server-side operations.
Solution Approach 2:
The server acts as an intermediary between image acquisition and display. It receives raw data from cameras, processes the images, and distributes the processed results to multiple display terminals, thereby enabling efficient data sharing without sacrificing processing quality or speed.
3Adaptability or versatility
If multiple devices with ISP chips are used, then image processing capability is improved, but system complexity increases
Solution Approach 1:
The patent extracts image processing functionality from individual camera devices and relocates it to a centralized server. This extraction simplifies the camera hardware while consolidating processing complexity in a single location that can be managed and updated more easily.
Solution Approach 2:
The central server provides universal image processing capabilities that can serve multiple different camera types and display terminals. This multi-functional approach reduces overall system complexity by replacing multiple specialized components with a single versatile processing platform.
Data Source
AI summary
Provided in the present disclosure are an image processing system, a cloud serving end, and a method. The image processing system comprises: a local end comprising at least one display terminal, a cloud serving end, and a remote end comprising a plurality of image collection units, each display terminal is configured to send a data request to the cloud serving end; the cloud serving end is configured to: receive the data request; determine a target application scenario from a plurality of application scenarios of the display terminal; determine a target image collection unit from the plurality of image collection units; process, according to a target image processing algorithm corresponding to the target application scenario and the target image collection unit, raw image data collected by the target image collected unit; send the processed image data to the display terminal, such that the display terminal displays the processed image data.