VeriToll has launched its newest product CrowdToll, the first crowdsourced image review technology that aims to cut image review costs by more than half while achieving higher levels of accuracy and a quicker turnaround.
After launching CrowdToll at the IBTTA conference in Boston in July 2016, the industry has exploded with support for the innovative technologies VeriToll is offering. VeriToll is currently in the middle of its second pilot program with 2 more in the queue in order to fully validate its technology prior to an initial industry offering.
"CrowdToll attacks the pitfalls associated with manual image review in scalability, performance, and cost" said CEO and cofounder Chris Higgins. CrowdToll provides near unlimited scalability where manual image review techniques are historically limited by a fixed staffing model creating a slow-to-process, slow-to-scale, and slow-to-grow ecosystem.
Leveraging the sharing economy, just like Uber, AirBNB, and Etsy, CrowdToll's crowdsourced reviewer pool exists 24/7 and given the innovation around CrowdToll's reviewer technology, anyone in the world can become an image reviewer allowing for this near-unlimited pool. With the ability to scale resources, the model inherently provides a performance boost allowing several additional review passes at a lower cost point - unlimited scalability, better performance, and lower cost. "Within our first pilot we validated the ability to process tens of thousands of images in under one hour by utilizing hundreds of reviewers - and that was just one of our review channels" said CTO and cofounder Joseph Silva.
The future of the tolling industry is also greatly benefited by CrowdToll technology. Enforcement mechanisms (typically image-based) will always be required for any pay-to-drive mechanism such as GPS Tolling, Mileage-Based User Fees instead of gasoline-based taxation, among others. For example, with a full GPS-based smartphone tolling system, if the user turns off his/her smartphone they won't be charged, rendering enforcement using image-based mechanisms a requirement. Therefore, coupled with CrowdToll, a low-cost model exists which supports these and other future technology goals.
As CrowdToll continues to perfect its methods, the cost and performance characteristics will only improve as they plan to add additional layers of processing in order to decrease the number of reviews needed thereby decreasing the cost per review.
Higgins mentioned, "When we finalize our model later this year, we'll have processed millions of images and be on solid footing to begin transitioning assets onto the platform in a methodical and efficient manner. We can't wait to see what 2017 has to offer."
