Intel

CLEVER THINGS YOU CAN DO WITH MACHINE LEARNING

Sign up for the Intel IoTG Live Webinar now

Register now

Coming Up in June

Traditional approaches to automatic license plate recognition (ALPR) have relied on technologies like infrared imaging and optical character recognition for decades. Now, next-generation solutions built on machine learning are redefining what ALPR systems can achieve.

Register now


30 June, 2020 | 01:00 PM SGT, 10:30 AM IST,
03:00 PM AEST

Machine learning enables us to look beyond vehicle number plates – at the vehicles themselves, and the surrounding environment. It brings the ability to factor in this contextual data, supporting better informed and faster decision-making. Joining us live, Chris Yigit will introduce advanced ALPR solutions from Genetec. He will also compare ALPR engine technologies and discuss what comes next.

Required Fields(*)

Please enter a First Name.
First Name must be at least 2 characters long.
First Name must be less than 250 characters long.
Please enter a First Name.
Please enter a Last Name.
Last Name must be at least 2 characters long.
Last Name must be less than 250 characters long.
Please enter a Last Name.
Please enter an Email Address.
Please enter a valid Email Address.
Email Address must be less than 250 characters.
Please double check your email address.
Please enter a Company Name.
Company Name must be at least 2 characters long.
Company Name must be less than 250 characters long.
Please enter a Company Name.
Please select a Country/Region.
Please select a Profession.
Please select a Job Level.
Please enter a Job Title.
Job Title must be at least 2 characters long.
Job Title must be less than 250 characters long.
Please enter a Job Title.
Please select an Industry.
Please enter a Business Phone.
Business Phone must be at least 6 digits long.
Business Phone must be less than 250 characters long.
Please enter a Business Phone.
Please enter a valid Business Phone.
Please provide the contact number based on the selected country.

By submitting this form, you are confirming you are an adult 18 years or older and you agree to share your personal information with Intel to use for this business request. You also agree to Intel and Genetec contacting you with marketing-related emails or by telephone. You may unsubscribe from Intel or Genetec at any time. Intel's web sites and communications are subject to our Privacy Notice and Terms of Use. Genetec web sites and communications are subject to their Privacy Notice and Terms of Use.

Speaker

Chris Yigit

Chris Yigit

AutoVu Technology Partnership Manager,
Genetec

Having begun his career as an applications engineer, Chris went on to hold a succession of managerial roles for over a decade before joining Genetec in 2010. Since then, he has been instrumental in growing the AutoVu product line. He currently oversees the company’s strategic technology partnerships, integrations and alliances.