Embedded Vision Summit

Latest Innovations driven by advanced technologies are the real gamechangers of today. Come visit
us at one of the most coveted destination for such innovations – Embedded Vision Summit – and
acquaint yourself with our set of state-of- the-art offerings.

• Experience – first hand – our Driver Monitoring solution that provides reliable detection of
  driver drowsiness and in-attention using a combination of advanced facial analysis
  algorithms and deep learning models
• Get a closer look at some of our innovations in ADAS domain such as Traffic sign recognition
  and Vision based object detection on high performance ADAS SoCs with vision accelerators
• Get introduced to our Machine Vision Camera Module specifically designed to operate under
  low light circumstances and deliver unmatched acuity in the arenas of still and motion
  capture
• Listen to PathPartner’s Technical Insights on:
• Creating a Computationally Efficient Embedded CNN Face Recognizer
  Speaker: Praveen G.B.
  Technical Lead, PathPartner Technology
  Praveen G.B. received his B.E. degree in Electronics & Communication Engineering
  from Anna University, Chennai, India in 2011 and M.E. degree in Applied Electronics
  from Anna University, Chennai, India in 2017. Currently he works as Technical Lead
  with the ADAS team at PathPartner. His experience/research interests include
  Video Compression & Signal Processing and using deep learning approaches for
  Computer Vision problems.
• Understanding and Implementing Face Landmark Detection and Tracking
  Speaker: Dr. Jayachandra Dakala
  Technical Architect, PathPartner Technology Pvt Ltd, India
  Dakala Jayachandra received the B.Tech degree in electronics and communications
  engineering from NIT, Warangal, India in 2003 and received PhD in electrical and
  electronic engineering from Nanyang Technological University, Singapore in 2015.
  Currently, he is heading the ADAS vision team at Path Partner Technology Pvt Ltd,
  India. Broadly, his experience and research interests include 1-D and 2-D signal
  representations and their application to solve computer vision problems.
• You can also meet our experts across segments such as Internet of Things (IoT), medical
  devices domain, automotive and digital media to gain further insights into our offerings