MicroTraffic named SXSW pitch smart cities finalist

by | Feb 17, 2021 | Uncategorized

“South by Southwest, stylized as SXSW and colloquially referred to as South By, is an annual conglomeration of parallel film, interactive media, and music festivals and conferences organized jointly that take place in mid-March in Austin, Texas, United States.” (Wikipedia).
SXSW Pitch is the marquee event of South by Southwest® (SXSW®) Online (March 16-20, 2021), where leading startups from around the world showcase some of the most impressive technology innovations to a panel of hand-picked judges and a virtual audience. Out of the more than 500 companies that applied to present at SXSW Pitch 2021, MicroTraffic Road Safety Video Analytics was selected among the 40 finalists spanning 8 separate categories.
2021 Categories include Artificial Intelligence, Robotics & Voice, Enterprise & Smart Data, Entertainment, Gaming & Content, Future of Work, Health, Wearables & Wellbeing, Innovative World Technologies, Smart Cities, Transportation & Logistics, Social & Culture.
The two-day event will be presented on Wednesday, March 17th and Thursday, March 18th during SXSW Online. The Smart Cities pitches run on March 17th beginning at 10 AM. The winners for each category will be announced during the SXSW Pitch Award Ceremony on March 20th at 3 PM.


“It is a great honour to be invited to share about the work our startup is doing in 65 cities, especially because the City of Austin is one of our great pilot cities that is making roads safety with MicroTraffic technology. To our knowledge, this is the first time a Winnipeg startup has been a featured finalist at SXSW pitch.” -Craig Milligan, CEO and lead road safety engineer at MicroTraffic.

The image above shows a near-miss risk event measured by MicroTraffic in Texas, where SXSW is held. Texas in on an unfortunate streak of more than 20 years of traffic fatalities every single day. MicroTraffic’s work in Texas, and in 65 cities around the world, is working to eliminate traffic fatalities by measuring risk with computer vision and then creating intersection safety improvement plans that reduce risk by as much as 80%.