13 posts published
Comparing Nexar's Phoenix, AZ ground truth data with both City of Phoenix and OpenStreetMap (OSM) limit data shows that maps become stale. This post details the findings of our analysis for Phoenix, AZ speed limit signs. You can also read why this means we need to think about
“Within 5 years, camera technology will be part of the commercial trucking underwriting process,” says Ricky Hale, VP of Commercial Auto Operations at Paramount General Agency. “While drivers may be reluctant to adopt interior-facing cameras, front-facing cameras provide benefits to all those involved: the insureds can better control their premiums,
In the near future all cars will collect vision data from front-facing cameras. What does this mean for insurance and claims adjustment and resolution? What can we learn from current dash-cam AI solutions? Introduction A study by Autopacific shows that 70% of all new car buyers would want their next
“Change is the only constant” - Heraclitus Nexar has always prided itself on its coverage, and the ability to provide a constant stream of fresh images from the road. With 130 million miles driven monthly [https://data.getnexar.com/blog/nexar-now-sees-130-million-road-miles-per-month-to-train-autonomous-vehicles-for-the-most-extreme/] (and growing), Nexar captures very recent images of roads
Dual facing cameras and AI technology help drivers claim workers’ compensation in the case of a collision or assault New York, NY - August 12, 2021 - Nexar, a leading AI computer vision company, announced a partnership with the Black Car Fund (BCF), New York State’s workers’ compensation provider
Is OSM data about stop signs fresh and conclusive, or does it require some additional work? We asked this question after reading ״How Lyft discovered OpenStreetMap is the Freshest Map for Rideshare [https://eng.lyft.com/how-lyft-discovered-openstreetmap-is-the-freshest-map-for-rideshare-a7a41bf92ec] ”, which covered OSM’s road class, directionality and lane metadata. We wanted to
Nexar generates the world’s largest independent vision dataset providing AV creators with the anomalous data they need for training along with mapping and change detection
What it takes to create a crowd-sourced identification of free, on-street, parking During February 2021 we used images collected from dash cams and AI to map on-street parking spots in Milan. We wanted to understand the city’s curb-side and prove the value of real-time, free-parking-spot detections for drivers and
By 2024 most new car models will include several built-in cameras. Cameras are there for the cars to “see” — the road, cyclists, pedestrians, road signs and more. Most industry pundits focus on the use of car-sight as cars evolve to self-driving. Yet, even before, during and after self-driving becomes a
Using video footage captured by on-board cameras, Nexar’s technology provides drivers and insurance companies with a detailed reconstruction of the actions of all parties involved in a collision Nexar, a leading AI computer vision company, announced today the release of the first-ever collision reconstruction platform using raw camera data,
We’re working on a product we call Nexar Streets [https://data.getnexar.com/product/street/]. It lets you explore the world in real-time through the images captured by our dash cam network. As part of testing it, we decided to look for a fairly ubiquitous component of the American
Can artificial intelligence do the job? When cities need to make decisions about managing assets, streets, permits, they need to be able to see what is actually going on. Some of this depends on actual human sight, such as looking at a road, assessing damage, or checking whether a work
Real-time imagery can help understand how behaviour on the streets impacts the spread of COVID-19 We’ve all heard the debates about wearing face masks during the Coronavirus pandemic. We’d like to ask a different question: whether people behave as they self-report when it comes to face mask wearing