You will get a smart face recognition system
Project details
“Pehchaan”- Smart Face Recognition System is a web-based face recognition built using Deep Learning to automate the process of logging in to various online portals like e-commerce, banking, retail, HRM etc. This system can be deployed to cloud/local servers with minimum resource configurations which can process millions of faces within 2-3secs of response time. A simple way to implement the most sophisticated workflow for recognition of facial features with 99.38% accuracy.
Features:
Simple one-time registration page for storing FACE image.
Single RGB passport size image registration for the recognition process.
Minimal recognition back-end with 2-3secs of response time based on Deep Learning.
Easy to integrate with existing login portals in WebApp, AndroidApp, DesktopApp etc.
99.38% efficient irrespective of image resolution, lighting conditions, frame rates.
The perfect & scalable solution for all kinds of business.
Easy deployment & configuration of existing servers using pre-configured VM image.
Tested with 500 registered faces.
Easy to connect with existing ip cameras, dvrs etc.
Supports rtsp,http etc video streams with onvif support.
Automation of tradition login systems
Features:
Simple one-time registration page for storing FACE image.
Single RGB passport size image registration for the recognition process.
Minimal recognition back-end with 2-3secs of response time based on Deep Learning.
Easy to integrate with existing login portals in WebApp, AndroidApp, DesktopApp etc.
99.38% efficient irrespective of image resolution, lighting conditions, frame rates.
The perfect & scalable solution for all kinds of business.
Easy deployment & configuration of existing servers using pre-configured VM image.
Tested with 500 registered faces.
Easy to connect with existing ip cameras, dvrs etc.
Supports rtsp,http etc video streams with onvif support.
Automation of tradition login systems
Machine Learning Tools
Deeplearning4j, NVIDIA AI Platform, OpenCV, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$499
|
Standard
$699
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 7 days |
Number of Revisions | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Frequently asked questions
About Vishal
Embedded Systems Engineer | Software Developer
Bengaluru, India - 2:00 pm local time
in/for multiple startups, ngos, enterprises, institutions & corporate companies. I am more interested in building my own things rather than depending on others.
My skills & expertise: Qt-C/C++, PyQt, Python Coding, STM32, NRF, maxim integrated, PIC-Microchip, ARM, Raspberry Pi, Arduino, Embedded, Firmware-C/C++, RFID, LoRaWAN, 2G/3G/4G Network, I2C, SPI, UART, Rapid Prototype, Robotics, Kiosk Software, Custom Dimensions display(OLED/TFT/LCD) GUI
Services Offered!
Embedded Application & Software Development-Qt C/C++
Firmware Development- Embedded C/C++
Desktop Software Development- PyQt, Python
CCTV, Video Analytics, Machine Vision
Let's connect to discuss more...
Steps for completing your project
After purchasing the project, send requirements so Vishal can start the project.
Delivery time starts when Vishal receives requirements from you.
Vishal works on your project following the steps below.
Revisions may occur after the delivery date.
Please provide requirements document & wireframes?
workflow, hardware flow diagram, schematics etc