Edge Video Object Detection for Privacy-Preserving Smart Cameras

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Solution Overview

Problem

Existing smart cameras require cloud-based storage and processing, raising privacy concerns and necessitating specialized hardware for autonomous operation without internet connectivity.

Innovation Solution

A device for edge processing that performs object detection on local networks, utilizing a processor to analyze video streams in parallel with scene detection engines, enabling local object identification and notification without cloud dependency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If cloud-based storage and processing is used, then object detection capability is provided, but privacy concerns arise and data security deteriorates

Engineering Contradiction:

Improveobject detection capabilityVSAvoidprivacy concerns

Core Design Contradiction:

Difficulty of detecting and measuringVSObject-affected harmful factors

Solution Approach 1:

The patent extracts the object detection and processing functions from the cloud and implements them locally on the camera device. The processor performs scene detection and object identification using locally stored models, eliminating the need to send video data to external cloud servers and thus resolving privacy concerns while maintaining detection capability

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces a local processor as an intermediary between the camera sensor and the user. This processor handles all image processing, scene detection, and object identification locally, acting as a mediator that prevents direct exposure of video data to external cloud services while still providing intelligent detection functionality

Inventive Principle:

Principle #24Intermediary (Mediator)

2Difficulty of detecting and measuring

If cloud architecture is used for processing, then advanced AI operations are available, but hardware requirements increase significantly

Engineering Contradiction:

ImproveAI operations capabilityVSAvoidhardware requirements

Core Design Contradiction:

Difficulty of detecting and measuringVSDevice complexity

Solution Approach 1:

The patent changes the parameter of computational location from remote cloud servers to local processor. By optimizing the local processor to execute detection models efficiently, the system achieves advanced AI operations without requiring the expensive specialized hardware that would be needed for local deployment, thus reducing overall system complexity

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent creates a simplified copy of the cloud processing architecture that runs locally on the camera device. Instead of requiring full-powered cloud infrastructure, the system implements a streamlined version of the detection pipeline that can execute on standard processor hardware, reducing hardware requirements while maintaining core functionality

Inventive Principle:

Principle #26Copying

3Difficulty of detecting and measuring

If specialized smart cameras are purchased for cloud integration, then cloud-based processing is enabled, but device versatility and adaptability decrease

Engineering Contradiction:

Improvecloud processing capabilityVSAvoiddevice compatibility

Core Design Contradiction:

Difficulty of detecting and measuringVSAdaptability or versatility

Solution Approach 1:

The patent implements a universal processor architecture that can handle both basic camera functions and advanced object detection locally. The system uses standard video processing interfaces and can work with various camera types, making the device versatile and adaptable to different scenarios without requiring specialized hardware for each function

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent segments the processing functions into separate modules: basic video streaming, scene detection, object identification, and notification. This modular architecture allows the system to maintain cloud compatibility while adding local processing capabilities, enabling the device to adapt to various use cases without requiring complete hardware redesign

Inventive Principle:

Principle #1Segmentation

4Object-affected harmful factors

If autonomous operation without internet connection is implemented, then data privacy is improved, but processing power requirements increase 50-100x

Engineering Contradiction:

Improvedata privacyVSAvoidprocessing power requirements

Core Design Contradiction:

Object-affected harmful factorsVSPower

Solution Approach 1:

The patent applies partial action by performing only the essential object detection and scene analysis locally, while more complex processing can still utilize cloud resources when available. This selective local processing approach enables autonomous operation with minimal processing power requirements, avoiding the need for 50-100x more hardware power while maintaining privacy

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20260004582A1System, device and method for object detection in video feeds

Publication Date: 2026.01.01 MONITOREAL LTD

AI summary

Embodiments are directed to a smart camera device that analyzes independent video streams.