ReportWire

Tag: Machine Vision

  • Blyncsy’s Machine Vision Technology Selected to Improve Public Transit in New York Tri-State Area

    Blyncsy’s Machine Vision Technology Selected to Improve Public Transit in New York Tri-State Area

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    Transit Tech Lab announced that Blyncsy was selected among nearly 150 other applicants for the COVID-19 Recovery and Environmental Sustainability challenges, a global competition calling for technologies to improve public transit safety and meet clean energy objectives.

    Press Release


    May 24, 2022

    Transit Tech Lab announced that Blyncsy was selected among nearly 150 other applicants for the COVID-19 Recovery and Environmental Sustainability challenges, a global competition calling for technologies to improve public transit safety and meet clean energy objectives.

    Transit Tech Lab presented Blyncsy with the opportunity to pilot it’s Payver technology to gain insights into the condition of bus shelters and properly allocate resources to ensure bus shelters are clean and safe for NJ Transit. Port Authority of New York and New Jersey will also be piloting Payver to monitor paint line striping visibility and pavement condition. Blyncsy’s Payver technology utilizes dash cam imagery and machine learning algorithms to passively provide a roadway view of bus stops and automatically detect maintenance issues. Blyncsy’s machine vision technology can detect anything the eye can see, like whether a bus shelter is blocked or if trash and graffiti are present. Payver can also detect street lighting to see if shelters are properly lit at night or if a light is on during the day.

    Currently, bus shelter maintenance relies on manual inspections and public complaints which can result in longer response times to issues. By using machine vision on roadways, agencies will gain near real-time insights, thus decreasing emissions and increasing the speed and efficiency of maintenance.

    The COVID-19 Response Challenge was launched with the goal of ensuring customers and employees feel safe, reducing greenhouse gas emissions and making transit more responsive to the needs of New Yorkers. “Blyncsy’s goal is to make people actually want to use transit again and that they feel safe doing so. By addressing safety critical issues the minute they occur, we can help rejuvenate transit everywhere,” said Mark Pittman, founder and CEO of Blyncsy.

    Blyncsy, along with the other seven companies chosen, will test their solutions over an 8-week period with the Metropolitan Transportation Authority (MTA), Port Authority of New York and New Jersey and NJ TRANSIT.

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    Contact: Mark Pittman

    Support@blyncsy.com

    385-216-0590

    Source: Blyncsy, Inc.

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  • Horrocks Engineers and Blyncsy Partner to Bring Artificial Intelligence to Our Roadways

    Horrocks Engineers and Blyncsy Partner to Bring Artificial Intelligence to Our Roadways

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    Machine Vision AI to offer replacement for LIDAR for Cities, Local Governments and Departments of Transportation

    Press Release



    updated: Mar 16, 2022

    Horrocks Engineers is partnering with Blyncsy to roll out the use of AI-powered computer vision on roadways.

    Blyncsy’s Payver technology and Horrocks’ insights will allow a smart and streamlined process for Departments of Transportation, Cities, Local Governments and other agencies to collect data on safety-critical transportation issues and to extend the useful life of their infrastructure quickly and efficiently.

    Horrocks currently uses LiDAR technology to scan and survey roadways. However, they will now be offering Blyncsy’s Payver technology to monitor assets on highways and roads as an additional option.

    This new method of gathering asset data collection and roadway analysis is more efficient than LiDAR technology in many ways. Not only is Payver 25% the cost of LiDAR, it also takes only 5% of the time. It also saves 66-man hours and 2,000 pounds of CO2 per 1,000 miles surveyed. Blyncsy’s Payver technology utilizes crowdsourced images from dash cameras that are already inside thousands of cars on our roadways. By uploading and segmenting images using machine learning algorithms, Payver is able to automatically detect anything from pavement cracking to paint line degradation. This AI technology is able to detect anything the human eye can see and send insights directly to an agency’s workflow, giving clients a high level of situational awareness into the condition of their roadways.

    Horrocks has surveyed hundreds of miles of state and local roadways and are leaders in using new survey technologies. This new partnership with Blyncsy is proof of this.

    “We are excited to be partnering with a company that is so focused on investing in innovative technologies to deliver faster, smarter services to its customers. It’s important to recognize that these kinds of innovations are what ultimately will get our clients their data faster and allow them to make better decisions based on those insights,” said Mark Pittman, founder and CEO of Blyncsy.

    This partnership will allow for smarter and more efficient transportation management for the drivers of tomorrow.

    Source: Blyncsy, Inc.

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