Software apps and online services
“Pehchaan”-SmartFaceRecognition 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.
Demo: https://www.vsltech.co.in/facerec/Chrome: (Advance>>Proceed Unsafe)Firefox: (Add Exception>>Allow Security Certificate)
Project Won Ist Prize of 25, 000/- in GCP Hackathon: https://www.techgig.com/hackathon/Google-Cloud-Platform-321Features:
- The 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.
Thanks utsource.net to offer electronic components for my projectsThe problem being solved:
- Server configurations & deployment to client systems
- Automation of tradition login systems
- Attendance monitoring in schools, colleges etc.
- HRM of all types of Industries.
- Adding extra layer security to existing banking systems.
- Automation of bank ATM operations.
- Video surveillance systems.
- Office/Home automation using face recognition.
- Self-driving vehicles <automation/>.
Read Detailed Report: https://www.slideshare.net/VishalAditya/smart-face-recognition-system-analysis