Object Detection for Automated People Tracking in Stores

Based on Patent Research | KR-20190090544-A (2019)

General merchandise stores need reliable surveillance, especially in areas with poor lighting. Current monitoring systems often require constant adjustments to capture clear images. This creates security gaps. Object detection, a computer vision task, can automatically locate individuals in surveillance footage. When combined with human body detection, cameras focus correctly, even in low light. This improves security by ensuring consistent monitoring and reduces the need for manual oversight.

SOLUTION OVERVIEW

From Manual to Smart Monitoring

Object detection offers a robust solution to improve surveillance in general merchandise stores, especially in challenging lighting. This technology automatically identifies individuals within camera feeds, even in dimly lit environments. By using human body detection, the system intelligently directs camera focus. This ensures clear and consistent monitoring by focusing specifically on people. The process involves continuous video analysis, real-time identification, and automated camera adjustments.

This technology integrates seamlessly with existing CCTV systems, adding an intelligent layer of automation. Imagine it like an automatic brightness adjustment on a security camera, ensuring a clear image at all times. Object detection reduces the need for constant manual oversight. This enables security personnel to focus on other critical tasks, improving overall safety and operational efficiency within the store. The result is enhanced security coverage and a proactive approach to loss prevention.

HOW IT WORKS

Video Analysis = People Detection

Capturing Surveillance Video Continuously

Capturing video footage from existing surveillance cameras starts the process. The system continuously monitors these feeds, looking for any activity within the store. This ensures no event goes unnoticed, creating a comprehensive record of the store's environment.

Analyzing Video to Identify People

Analyzing the video feed in real-time, the system uses object detection to identify objects and people. The AI model is trained to recognize human forms, even in low-light conditions, which is critical for general merchandise stores. This analysis pinpoints the location of individuals within the camera's view.

Focusing Cameras on Detected People

Focusing the camera with human body detection improves image clarity. Once a person is detected, the system adjusts the camera's focus. This ensures the clearest possible image of the individual, even if lighting is poor, improving the quality of the surveillance data.

Providing Alerts and Recording Events

Providing alerts and recording events automatically enhances store security. The system records detected events and can trigger alerts to security personnel. This allows staff to quickly respond to potential security breaches or unusual activity, improving overall store safety and preventing losses.

Potential Benefits

Improved Surveillance in Low Light

Object detection enhances surveillance by automatically focusing on individuals, even in low-light conditions. This ensures that security personnel receive clear video, improving monitoring efficacy in areas that were previously difficult to surveil.

Reduced Need for Manual Oversight

By automating camera adjustments and continuously monitoring feeds, object detection reduces the need for manual oversight. This allows security staff to focus on other critical tasks, improving overall operational efficiency and response times.

Proactive Approach to Loss Prevention

Consistent and reliable monitoring through automated object detection leads to a more proactive approach to loss prevention. By identifying potential threats in real-time, stores can mitigate risks and minimize financial losses.

Seamless Integration with CCTV Systems

Integrating object detection into existing CCTV systems adds an intelligent layer of automation without requiring a complete overhaul. This seamless integration minimizes disruption and maximizes the value of current security investments.

Implementation

1 Camera Installation. Install required cameras, ensuring optimal placement for store surveillance coverage.

2 System Integration. Connect cameras to the object detection system, verifying proper data flow.

3 Model Configuration. Configure the AI model for human body detection in the store environment.

4 Alert Setup. Establish alert parameters for security personnel, defining event triggers.

5 System Monitoring. Continuously monitor video feeds, ensuring consistent object detection performance.

Source: Analysis based on Patent KR-20190090544-A "Camera surveillance system using infrared sensor and face recognition technology" (Filed: August 2019).