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AI Security Camera App using DL #871

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Vaibhav-kesarwani opened this issue Jul 24, 2024 · 7 comments
Open

AI Security Camera App using DL #871

Vaibhav-kesarwani opened this issue Jul 24, 2024 · 7 comments
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@anshuman444
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KWOC Status: Assigned Assigned issue.

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@Vaibhav-kesarwani
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Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Security Camera ai

🔴 Aim : This web app will help you to detect the intruders

🔴 Dataset : Object-detection(Human) - Kaggle

🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

📍 Follow the Guidelines to Contribute in the Project :

  • You need to create a separate folder named as the Project Title.
  • Inside that folder, there will be four main components.
    • Images - To store the required images.
    • Dataset - To store the dataset or, information/source about the dataset.
    • Model - To store the machine learning model you've created using the dataset.
    • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
  • Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

🔴🟡 Points to Note :

  • The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
  • "Issue Title" and "PR Title should be the same. Include issue number along with it.
  • Follow Contributing Guidelines & Code of Conduct before start Contributing.

✅ To be Mentioned while taking the issue :

  • Full name : Vaibhav Kesarwani
  • GitHub Profile Link : https://github.com/Vaibhav-kesarwani
  • Email ID : [email protected]
  • Participant ID (if applicable):
  • Approach for this Project : to Protect and have the best security system
  • What is your participant role? (Mention the Open Source program) GSSoC

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎
@github-actions GitHub Actions
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Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

@abhisheks008
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Can you elaborate more on this project?
@Vaibhav-kesarwani

@abhisheks008 abhisheks008 changed the title Wanted to Add Security Camera Ai AI Security Camera App using DL Aug 11, 2024
@abhisheks008 abhisheks008 added the Status: Up for Grabs Up for grabs issue. label Aug 11, 2024
@anshuman444
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can you like assign this to me

@abhisheks008
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Please fill up the details like this and comment again,
image

@anshuman444

@anshuman444
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anshuman444 commented Jan 5, 2025 •
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Full Name- Anshuman Dash
GitHub Profile Link - https://github.com/anshuman444
Email ID- [email protected]
Approach For this Project - Identify and locate specific objects within the camera's field of view (e.g., people, weapons).
Participant role -kwoc

@abhisheks008
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Assigned to you, @anshuman444

@abhisheks008 abhisheks008 added Status: Assigned Assigned issue. KWOC and removed Status: Up for Grabs Up for grabs issue. labels Jan 5, 2025
@anshuman444
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@abhisheks008 do you have any discord channel the project is almost ready and its working fine

anshuman444 added a commit to anshuman444/DL-Simplified that referenced this issue Jan 16, 2025
@anshuman444
AI Security Camera App using DL abhisheks008#871
984928e 
Security Camera AI - Deep Learning

🔴 Project Title: Security Camera AI



This web app will help detect intruders using deep learning algorithms for human object detection.



📍 Folder Structure:

Images - Store required images for testing and training.

Dataset - Contain the dataset or source links used for training models.

Model - Save the trained machine learning models and include a detailed README.md file with visualizations and conclusions.

requirements.txt - Include all required packages and libraries to ensure seamless replication of the project.

🔴 Dataset:

Source: Object-detection (Human) dataset from Kaggle.

Purpose: Use the dataset to train the model for human detection.

Perform Exploratory Data Analysis (EDA) to understand features, data distribution, and preprocessing requirements.

🔴 Approach:

Exploratory Data Analysis (EDA):

Perform data cleaning and preprocessing.

Analyze data distribution and outliers.

Visualize patterns and correlations to derive insights.

Model Selection and Training:

Implement 3-4 algorithms such as:

YOLO (You Only Look Once)

SSD (Single Shot Detector)

Faster R-CNN

MobileNet SSD

Compare performance based on accuracy, precision, recall, and F1-score.

Evaluation:

Assess each model's performance using evaluation metrics.

Use confusion matrices, ROC curves, and precision-recall curves.

Deployment:

Develop a web application interface for real-time detection.
anshuman444 added a commit to anshuman444/DL-Simplified that referenced this issue Jan 17, 2025
@anshuman444
Merge pull request #1 from anshuman444/ abhisheks008#871
0280c69 
AI Security Camera App using DL abhisheks008#871
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@abhisheks008 @Vaibhav-kesarwani @anshuman444