Rolling Shutter Frame Verification for Pre-Encryption Tamper Detection

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Solution Overview

Problem

Existing camera surveillance systems face challenges in ensuring the authenticity and integrity of video streams captured by rolling shutter image sensors, as tampering can occur before encryption, rendering existing encryption methods ineffective.

Innovation Solution

A method to verify image data frames using a rolling shutter image sensor by detecting moving objects, estimating their speed, measuring and calculating the rolling shutter effect, and comparing the measured effect to an expected amount to determine authenticity, with outputs indicating suspect frames.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If video streaming is encrypted to ensure authenticity, then data security is improved, but the system remains vulnerable to tampering before encryption

Engineering Contradiction:

Improvedata securityVSAvoidtampering vulnerability

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary verification of image data authenticity by detecting and measuring the rolling shutter effect before encryption occurs. This preliminary action identifies tampered frames in advance, allowing the system to reject or flag suspicious data before it enters the encryption pipeline, thus resolving the vulnerability to pre-encryption tampering.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously monitoring image data for rolling shutter effect characteristics and using this information to verify authenticity. The measured rolling shutter effect is compared against expected values, and this feedback loop enables real-time detection of tampering, improving overall data security reliability.

Inventive Principle:

Principle #23Feedback

2Productivity

If rolling shutter effect is used in image sensors, then capture capability is improved, but image distortion occurs in moving objects

Engineering Contradiction:

Improvecapture capabilityVSAvoidimage distortion

Core Design Contradiction:

ProductivityVSShape

Solution Approach 1:

The system converts the harmful rolling shutter distortion into a beneficial verification mechanism. By measuring the specific characteristics of the rolling shutter effect in moving objects and comparing them against expected values, the system creates an authenticity fingerprint that identifies tampered frames, thus transforming the distortion from a mere flaw into a security feature.

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

3Reliability

If image data is verified using rolling shutter effect measurement, then authenticity verification is improved, but processing complexity increases

Engineering Contradiction:

Improveauthenticity verificationVSAvoidprocessing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system uses the image data itself to perform verification. By measuring the rolling shutter effect directly from the captured images and comparing against expected characteristics, the system leverages the natural properties of the data rather than requiring external verification equipment or complex additional processing systems, thus reducing overall complexity.

Inventive Principle:

Principle #25Self-service

Data Source

PatentEP4668767A1Rolling shutter image data verification

Publication Date: 2025.12.24 AXIS

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AI summary

The present invention generally relates to the field of camera surveillance, and in particular to verifying image data in image data frames captured by a rolling shutter image sensor of a camera.