Touch-Free Employee Login at Scale
The COVID-19 pandemic has necessitated the usage of touch-free solutions in employment settings. Fingerprint sensors are standard practice in the industry and currently require a replacement at short notice. For this purpose, we present an inexpensive, facial recognition login solution using Python.
Modern deep-learning-based facial recognition techniques offer a fast, robust, and accurate solution to this problem and are easy to implement in Python. This talk will focus on the design and implementation of this scalable solution along with presenting a few valuable lessons we learned during the process.
Here is the outline of the talk (Total time - 30 mins)
- Existing Login Practices - 3 mins
- Facial Recognition: past and present - 5 mins
- Solution Design and Implementation - 10 mins
- Testing and Benchmarks - 5 mins
- Lesson Learned - 2 mins
- Q&A - 5 mins
Basic understanding of Computer Vision and Deep Learning
Minimal concepts from databases and distributed systems
Pavan is currently working as a Principal Engineer in OSI Digital, specializing in projects on analytics and cloud applications. He also enjoys contributing to open-source repositories, particularly in machine learning and scientific computing. He has completed his undergraduate degree from IIT Bombay and masters from Stanford University.