Digital Memory Map: A Visual Object Memory System Using Ai

• Author(s):

  Dinesh kumar C | Lukman Ahamed M | Sarukesh J

• Keywords:

  Computer Vision, YOLOv8, Object Detection, Artificial Intelligence, Deep Learning, Smart Tracking System, OpenCV

• Abstract:

  The Digital Memory Map System Is An AI-based Intelligent Object Tracking Application Designed To Help Users Locate Frequently Misplaced Personal Items Such As Mobile Phones, Wallets, Keys, Bottles, And Other Daily-use Objects. Traditional Methods Of Searching For Misplaced Objects Are Time-consuming And Inefficient. The Proposed System Uses Real-time Object Detection With YOLOv8 And OpenCV To Identify Objects Through A Webcam And Store Their Last Detected Location In A Database.The System Divides The Camera Frame Into Spatial Zones And Records Object Positions With Timestamps Using SQLite. Users Can Later Query The System Through A Flask-based Web Interface To Retrieve The Last Known Location Of An Object. The Proposed Solution Improves Object Management, Reduces Search Time, And Demonstrates The Practical Application Of Artificial Intelligence And Computer Vision In Smart Assistance Systems.

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Other Details

• Paper id:

  IJSARTV12I5105454

• Published in:

  Volume: 12 Issue: 5 May 2026

• Publication Date:

  2026-05-23

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