Omron has been a pioneer in Image Sensing Technology for over 20 years with its OKAO Vision software IP leading the way. The term OKAO is the Japanese word for “face”, so it’s no surprise that Omron’s technology offers features such as Face Detection, Face Recognition, and Age/Gender Estimation. Over time, the OKAO sophisticated algorithm has progressed to take into consideration a variety of conditions and environments.
Today, OKAO demonstrates high performance on a variety of applications regardless of face type and photoshoot conditions. The expansive OKAO software library of image sensing functions to understand humans includes:
For many, incorporating software technology can be the most challenging aspect in a design. OKAO technology provides flexibility as it can work with any platform (OS Independent) with a system requirement of only 32-bit or 64-bit.
The versatility of OKAO allows it to be used in multiple applications such as Industrial Controls, Basic Security, Communication Robots, Digital Camera, Mobile Devices, Digital Signage, etc. varying over multiple industries. You can find examples of where human interaction is a critical component for the overall user experience below:
Key Features of OKAO Technology:
Another key highlight of OKAO technology is its small footprint and memory requirements. Essentially OKAO software can work with any embedded linux platform such as raspberry pi, and more, which allows users to develop diverse applications.
Through OMRON innovation, OKAO Human Image Sensing Technology brings users variety, flexibility and versatility to meet an array of design needs. Join the upcoming OMRON webinar and discover how OKAO technology can fit into your application.
Hear presenter Ankit Juneja, Embedded System Engineer as he shares Omron’s Human Sensing Technology story.
Topics will include:
Webinar Topic: Omron Human Sensing Technology OKAO
Date: Nov 4, 2021
Time: 11am CDT/12pm EDT/9am PDT
Ankit Juneja – Embedded System Engineer, Omron Electronic Components
Ankit Juneja attended University of California Riverside and obtained a Master of Science degree in Electrical Engineering, with major in real time embedded system. He is currently the Embedded Systems Engineer for Omron, serving as the America's technical support for Omron's diverse sensor product offerings. He has expertise with sensor applications within the Factory Automation, Smart Home Building, Robotics and Food & Beverage industries.
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