Suffolk, a Boston-based construction company, recently announced that it is developing an algorithm with the help of artificial intelligence (AI).
The newly developed algorithm will help in analyzing photos from the company’s job sites. It scans these photos for safety hazards and checks if workers are wearing or not the protective equipment while working on the site. It associates the images with its accident records.
The company is still in the improvement stage of the technology. However, it asserted that the new technology will potentially calculate the risk ratings for projects. This will help in safety briefings if any important threat is detected.
Suffolk is also working on the project that involves writing an algorithm that will be able to parse data from various sources. It includes the scheduling data of 10 Years from its archives. Also, it will include the forecast project delays—data that could be communed to building owners and subcontractors.
The company proclaimed that it is exploring various ways to utilize data from IoT sensors. The company affirms that the step will help in increasing the efficiency. The project includes the tracking the location of trucks supplying the concrete. This tracking will help workers to be ready to pour the concrete as soon as the trucks arrive on the intended location.
This model demonstrates the software can be used to recognize the high risk of an accident so as to take preventive action to control the situation.
On a related note, a recent research report from Accenture proclaimed that more than three-quarters of the healthcare industry decision-makers are planning to invest in smart sensors and IoT in 2018. It asserted that 86% of them are in the search of the technology that can help them to process data. This automation in data processing will help them to implement automated decision-making in the healthcare industry.