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You will get a Fire and Smoke Detection

Ruchir K.Status: Offline
Ruchir K. Ruchir K.
4.8
Top Rated
Play video

Let a pro handle the details

Buy Other AI & Machine Learning services from Ruchir, priced and ready to go.
Ruchir K.Status: Offline
Ruchir K. Ruchir K.
4.8
Top Rated
Play video

Let a pro handle the details

Buy Other AI & Machine Learning services from Ruchir, priced and ready to go.

Project details

The Smoke Detection Rise project aims to identify the presence of smoke within a specified Region of Interest (ROI) in video frames.

Leveraging advanced computer vision techniques and machine learning models, particularly YOLOv8, the project focuses on accurately detecting smoke occurrences to enhance safety and monitoring systems.

Key features include robust classification capabilities within the defined ROI, and visualisation of detection results using
techniques like Eigen CAM to highlight critical features contributing to the detection process.

The project seeks to provide a reliable and efficient solution for early smoke detection in various environments.
AI Development Type
Deep Learning, Model Tuning
AI Tools
Azure Machine Learning, Keras, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlow
AI Development Language
Python

What's included $4,000

These options are included with the project scope.

$4,000
  • Delivery Time 14 days
  • Number of Revisions 1
    • AI Model Integration
    • Detailed Code Comments
    • Knowledge Graph
    • Model Documentation
    • Ontology
    • Source Code
    • Taxonomy
4.8
83 reviews
87% Complete
(72)
8% Complete
(7)
2% Complete
(2)
2% Complete
(2)
1% Complete
(0)

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Ruchir K.Status: Offline

About Ruchir

Ruchir K.Status: Offline
Computer Vision Engineer | AI/ML & Deep Learning Specialist
100% Job Success
4.8  (83 reviews)
Ahmedabad, India - 7:03 pm local time
✔️ TOP RATED Freelancer specializing in Computer Vision and AI-based image processing systems. I enjoy building practical, production-ready solutions for real-world visual problems and would be glad to contribute to your project in a meaningful way.

My core focus is on computer vision, especially tasks involving image understanding, detection, and extraction from complex or noisy inputs.

I have strong experience working with:

✔️Image Classification & Fine-Grained Recognition (handling subtle visual differences)
✔️Object Detection (YOLO, SSD, Faster R-CNN, TFOD API)
✔️Image Segmentation (Mask R-CNN, semantic & instance segmentation)
✔️OCR & Text Extraction (structured documents, multi-format, noisy images)
✔️Image Preprocessing (denoising, deskewing, perspective correction, enhancement)
✔️OpenCV-based pipelines for real-time and production use
✔️Deep Learning frameworks: TensorFlow, Keras, PyTorch
✔️CNN Architectures: ResNet, VGG, Inception, EfficientNet
✔️Transfer Learning & Custom Model Training
✔️Synthetic Data Generation & Augmentation
✔️Vector Embeddings & Image Similarity Systems
✔️End-to-End CV Pipelines (data collection → training → deployment)

Alongside this, I also have a solid foundation in:

✔️Machine Learning & Deep Learning
✔️Mathematics & Statistics (for model understanding and optimization)
✔️Python ecosystem (NumPy, Pandas, SciPy, etc.)
✔️API Development & Deployment(Docker, AWS, GCP)

I hold a Bachelor’s degree in Computer Engineering and am currently pursuing a Master’s in AI, which helps me stay aligned with the latest advancements in the field.

My approach is always to first understand the business problem and real-world constraints, and then design a solution that is accurate, scalable, and practical to use.

I care deeply about delivering solutions that actually work for clients not just in theory, but in real-world conditions.

Thanks & Regards,
Ruchir

Steps for completing your project

After purchasing the project, send requirements so Ruchir can start the project.

Delivery time starts when Ruchir receives requirements from you.

Ruchir works on your project following the steps below.

Revisions may occur after the delivery date.

Scope Binding

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