{"id":82541,"date":"2020-09-16T12:45:47","date_gmt":"2020-09-16T11:45:47","guid":{"rendered":"https:\/\/www.pbctoday.co.uk\/news\/?p=82541"},"modified":"2020-09-16T12:45:47","modified_gmt":"2020-09-16T11:45:47","slug":"ai-construction-site-safety","status":"publish","type":"post","link":"https:\/\/www.pbctoday.co.uk\/news\/digital-construction-news\/construction-technology-news\/ai-construction-site-safety\/82541\/","title":{"rendered":"Winvic secures funding for AI-enabled site safety system"},"content":{"rendered":"

Winvic<\/a>, UWE Bristol<\/a> and One Big Circle<\/a> Consortium have secured funding for AI-enabled software to send personal site risk alerts to teams<\/h2>\n

Dubbed as Computer-Vision-SMART, the \u2018Computer Vision and IoT for Personalised Site Monitoring Analytics in Real Time\u2019 project will run for two years.<\/p>\n

The consortium has successfully secured Innovate UK<\/a> funding and will share the \u00a3600,000 research pot.<\/p>\n

Winvic is working on a second Innovate UK\u00a0funded project, which aims to keep site staff even safer \u2013 the three organisations involved will together leverage the latest real-time image<\/a> and machine learning technologies to detect, recognise and track hazards on a construction site, which will then alert nearby operatives via IoT enabled, GPS devices.<\/p>\n

How the site safety technology works<\/h3>\n
    \n
  1. Interior and exterior site cameras will continuously capture video images.<\/li>\n
  2. Via Artificial Intelligence<\/a> (AI), any hazards \u2013 from moving heavy machinery to overhead works to people operating without the correct Personal Protective Equipment (PPE) \u2013 will be identified.<\/li>\n
  3. Over the length of this project, the machine learning models will be able to make an increasing number of intelligent predictions over the time of the project.<\/li>\n
  4. Safe space radii, or zones, will be predetermined and applied to each hazard.<\/li>\n
  5. Exact operator and hazard locations are understood through a geographic information system (GIS).<\/li>\n
  6. When an operator enters a hazard zone, the individual \u2013 and when appropriate other members of the site team \u2013 will receive a personal alert via an app on a wearable or mobile device. Managers can also review alerts and relevant video segments from a laptop-based app.<\/li>\n
  7. In the event of an operator being identified of not wearing appropriate PPE, the person and project manager will be alerted of the issue.<\/li>\n<\/ol>\n

    Two Winvic project sites will take part in the initiative to develop the technology over the 24-month period.<\/p>\n

    UWE Bristol and Winvic are also partners on the\u00a0Conversational BIM Project<\/a> \u2013 another AI-enabled development to create a voice-activated, BIM model connected headset, which will allow users to retrieve any and all project design and construction information with a simple vocal request.<\/p>\n

    Forward-thinking health and safety<\/h3>\n

    Tim Reeve, Winvic\u2019s technical director, commented: \u201cUtilising intelligent digital technologies<\/a> in construction to deliver projects more rapidly, cost-effectively and safely is a passion of Winvic\u2019s and this forward-thinking health and safety initiative is truly ground-breaking.<\/p>\n

    \u201cIt\u2019s a privilege to be working with UWE Bristol on a second AI-enabled project, and with One Big Circle also on-board, we have a very dedicated and eager consortium team.<\/p>\n

    \u201cThere is a clear gap in this area of construction safety, where social and technical efforts can successfully converge, and with the solution that has been conceived will come better opportunities than ever before to reach our zero-harm aim.<\/p>\n

    \u201cIt\u2019s a very exciting time in the world of digital transformation<\/a>, and our achievements over the next two years will generate a significant leap forward for safety across the whole of the construction industry.\u201d<\/p>\n

    Olugbenga Akinade, an Associate Professor at\u00a0UWE Bristol\u00a0and Principal Investigator, said: \u201cThis Computer-Vision-SMART project will enable us at the Big Data Enterprise and Artificial Intelligence Lab to employ our expertise in computer vision and sensor fusion technologies to improve safety on construction sites.<\/p>\n

    \u201cThe project is pivotal to our strategy to push the frontiers of construction research and to address industrial needs using innovative digital technologies.<\/p>\n

    \u201cThe Innovate UK Smart grant provides us with a unique partnership opportunity with Winvic and One Big Circle to address a unique gap in the construction industry.<\/p>\n

    \u201cWe are convinced that Computer-Vision-SMART will deliver a step-change which will enable us to explore the socio-technical overlap of behaviour-based safety on construction sites.<\/p>\n

    \u201cThe project will further mature our capabilities in delivering high impact research and to establish UWE Bristol as a business-facing university.\u201d<\/p>\n

    \u2018Advanced capability in the construction industry\u2019<\/h3>\n

    Founder and director of\u00a0One Big Circle, Emily Kent, added: \u201cAs specialists in intelligent video and integration our purpose is to provide digital video solutions to real-world challenges, especially in industrial environments, thereby increasing safety and enhancing operations.<\/p>\n

    \u201cThe power of a collaboration such as the Computer-Vision-SMART group means we can steer our video and computer vision expertise according to industrial need, working closely with others who are also experts in their own fields.<\/p>\n

    \u201cWe have been successful with this approach in highways and rail previously and are very excited about working alongside Winvic and UWE in delivering this advanced capability in the construction industry.\u201d<\/p>\n

    \n<\/div>","protected":false},"excerpt":{"rendered":"

    Winvic, UWE Bristol and One Big Circle Consortium have secured funding for AI-enabled software to send personal site risk alerts to 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