You will get A highly accurate real-time face detection and face recognition model.
Top Rated
Project details
You will get overall face detection and face recognition system with a live detection feature (if required).
We are using Facenet for Face Recognition. We used the Pretrained model and then fine-tuned it on the Dataset of Indian, Japanese, Chinese, etc., generated by us to improve accuracy on all the races.
It can work with Desktop, Raspberry Pi, Jetson nano, Cloud, etc.
We also have created a model that can detect a person's face as small as 15 pixels of size. (but we cannot use that for face recognition because of limited features).
We can deploy the system to cloud/local servers with the minimum resource in the shape of a framework for detecting, aligning, embedding, and recognizing Faces in both IMAGES and VIDEOS.
We have used python multi-processing and created a system that can monitor multiple input streams and perform face recognition in real-time, saving the results to the file system and keeping event log and face embedding information in the database.
The framework gives the user the ability to use multiple different deep learning environments as per the requirements. My solution also included an API and documentation.
We are using Facenet for Face Recognition. We used the Pretrained model and then fine-tuned it on the Dataset of Indian, Japanese, Chinese, etc., generated by us to improve accuracy on all the races.
It can work with Desktop, Raspberry Pi, Jetson nano, Cloud, etc.
We also have created a model that can detect a person's face as small as 15 pixels of size. (but we cannot use that for face recognition because of limited features).
We can deploy the system to cloud/local servers with the minimum resource in the shape of a framework for detecting, aligning, embedding, and recognizing Faces in both IMAGES and VIDEOS.
We have used python multi-processing and created a system that can monitor multiple input streams and perform face recognition in real-time, saving the results to the file system and keeping event log and face embedding information in the database.
The framework gives the user the ability to use multiple different deep learning environments as per the requirements. My solution also included an API and documentation.
What's included $9,000
These options are included with the project scope.
$9,000
- Delivery Time 15 days
- Number of Revisions 1
- Number of Model Variations 2
- Number of Scenarios 1
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 10 Days Delivery
+$3,000
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About Ruchir
Computer Vision Engineer | AI/ML & Deep Learning Specialist
100%
Job Success
Ahmedabad, India - 7:20 pm local time
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.
Step:- 1
Hear all the specific requirements from the client
Step:- 2
Discuss the approach and time frame as per their specific additional requirements