Enhancing Household Security through Video Object Detection

Based on Patent Research | GB-2624150-A (2024)

Private households face difficulties monitoring continuous security footage for relevant activity. Processing large volumes of raw image data often exhausts system resources and causes missed events. Video object detection identifies and tracks people or animals across sequences of image frames to solve this. This technology automates real-time event identification and reduces false alarms. Homeowners gain reliable alerts while saving energy by only using high resolution recording when the system detects specific movement.

SOLUTION OVERVIEW

Advancing from Manual to Automated Monitoring

Video object detection technology provides private households with a sophisticated way to manage security footage by identifying specific targets within a scene. The system begins by scanning continuous video streams from residential cameras, detecting presence of movement. It then classifies detected shapes into categories like people or animals across multiple frames to maintain a steady track. This automated filtering ensures the final output focuses exclusively on significant events, effectively ignoring irrelevant background noise or minor environmental shifts.

By integrating this computer vision model with existing smart home ecosystems, homeowners can automate high resolution recording only when necessary. This targeted approach functions like a digital security guard who only wakes up when a real visitor approaches the gate. This capability optimizes storage space and reduces the mental load of reviewing hours of empty video. Reliable event detection enhances peace of mind, allowing technology to handle routine surveillance while residents focus on daily life, creating a safer and more efficient home environment.

HOW IT WORKS

Video Analysis Reveals Security Alerts

Capturing Continuous Video Streams

The process begins with home security cameras collecting raw visual data from the surrounding property environment. This stage continuously monitors the area to identify initial movement and provide the system with a steady flow of image frames for processing.

Identifying and Categorizing Objects

Once motion is detected, the computer vision model scans the frames to locate specific shapes and outlines. It classifies these targets into relevant categories, such as people or animals, to ensure the system ignores background noise like swaying trees or passing cars.

Tracking Targets Across Frames

The system maintains a consistent focus on the identified subjects as they move through the camera's field of view over time. This continuous monitoring confirms that the activity is significant and helps the software determine when to trigger specific household security alerts.

Triggering High Resolution Recording

After confirming a relevant event, the system automatically activates high definition recording to capture every detail for the homeowner. This final output optimizes storage space while ensuring that only critical security incidents are preserved for later review.

Potential Benefits

Enhanced Security Response Times

Automated object detection allows homeowners to receive instant alerts only when relevant movement is identified. This eliminates the need for manual monitoring and ensures a faster reaction to potential security threats.

Reduced Storage and Energy Costs

By triggering high resolution recording only when specific objects are detected, the system significantly optimizes digital storage space. This targeted approach preserves hardware longevity and lowers the overall energy consumption of home security setups.

Minimized False Alarm Disruptions

The intelligent filtering technology distinguishes between significant events and irrelevant background noise, such as wind or shadows. Residents experience fewer unnecessary interruptions, leading to increased trust in their smart home security ecosystem.

Lower Mental Monitoring Load

Sophisticated tracking replaces the tedious task of reviewing hours of empty video footage for suspicious activity. Homeowners gain peace of mind knowing the AI identifies important events, allowing them to focus on their daily lives.

Implementation

1 Hardware Installation. Position residential security cameras to cover primary entry points and ensure a stable network connection for data streaming.

2 Software Environment Setup. Configure the video object detection software on a local hub or cloud platform to process incoming footage.

3 Model Parameter Tuning. Define specific detection categories such as people or animals and set sensitivity levels to minimize environmental false alarms.

4 Smart Home Integration. Connect the detection system to existing household ecosystems to enable automated triggers for high resolution recording and alerts.

5 System Testing. Verify the tracking accuracy across different lighting conditions and ensure that storage only activates during confirmed security events.

Source: Analysis based on Patent GB-2624150-A "Methods and apparatuses for processing image data" (Filed: August 2024).