You will get precise facial recognition security with age-invariant recognition ability
Project details
Revolutionize security with our Age-Invariant Face Recognition project. Unlike conventional systems, our project excels in recognizing faces under various conditions, including age, pose, and lighting. Leveraging cutting-edge techniques such as SURF, SIFT, and ORB, we ensure precise feature extraction. Our commitment to customization is unmatched, offering three distinct service tiers – Starter, Standard, and Advanced – each tailored to diverse client needs. With a focus on versatility and innovation, our solution promises not just security but a seamless fusion of precision and adaptability. Join us on the forefront of facial recognition technology, where every face tells a secure and unique story.
Machine Learning Tools
Keras, MLflow, NumPy, OpenCV, Python, Python Scikit-Learn, R, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 24 days | 38 days | 56 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 3 | 5 | 10 |
Number of Graphs/Charts | 3 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Amulya
Backend Software Engineer || Node.js || Python
Pilani, India - 12:31 am local time
Steps for completing your project
After purchasing the project, send requirements so Amulya can start the project.
Delivery time starts when Amulya receives requirements from you.
Amulya works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Collection
1) Receive and validate the dataset from the client. 2) Ensure the dataset is diverse and representative.
Customization Discussion
1) Discuss client preferences for customization. 2) Align features and visualizations with client expectations.