🚀 YOLOv8 CCTV Entry Detection with Timestamp Verification

This project uses YOLOv8 and Tesseract OCR to detect individuals entering a workspace via CCTV footage. The script extracts a timestamp from the video, verifies if the person arrived on time (before 6:30 AM), and saves the detected frame.

📌 Features:

✔ Real-time person detection using YOLOv8
✔ Extracts timestamp from CCTV footage using OCR
✔ Compares entry time with a predefined cutoff (6:30 AM)
✔ Saves detected frame with a bounding box

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⚡ How to Run This Project on Google Colab

1️⃣ Open the Project in Google Colab

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2️⃣ Upload a CCTV Video

Since Google Colab does not have direct access to local files, you need to manually upload your video when prompted.

In the Colab notebook, run the following command to upload the video:

from google.colab import files
uploaded = files.upload()  # Select and upload the CCTV footage


3️⃣ Install Dependencies
Run the following command inside the Colab notebook to install required packages:

!pip install ultralytics opencv-python pytesseract
!apt-get install -y tesseract-ocr

4️⃣ Run the Detection Script
Once the dependencies are installed, execute the detection script:

!python main.py 

5️⃣ View the Detection Results
The detected frame will be saved as detected_entry.jpg.
You can download the image using:
from google.colab import files
files.download("detected_entry.jpg")