How Face Recognition System Puts Things Right on Construction Site and Helps Contractor Avoid Penalty

Sep 23, 2019

A mess on a construction site is quite a common thing and can be tolerated to some extent if it is an organized mess. However, when this mess creeps into core processes, a construction site turns into a hurrah's nest, and a developer faces risk of large penalties, downtime, and even death toll. In this blog, we’ll tell you how CROC, our strategic partner, implemented a face recognition system on a construction site.

One fine, sunny day, when the site was buzzing with activity and dozens of workers were moving around cheerful and positive, a former workman penetrated the site. He passed through a checkpoint, greeted a guard who knew him well (but did not know that he had been fired already), entered the territory, and went to his friends. Half an hour later, a fire was burning, with the workers drinking tea, resting, and enjoying their lives.

The problem was that they made the fire near two gas cylinders, one of which suddenly exploded. Neither warning nor alert. Just exploded, and that’s it! Fortunately, people were just shocked, not injured, but a police came to the site the same day and initiated an inspection, which revealed some unpleasant facts for a contractor:

  • Many workers used forged documents. In other words, one family member obtained necessary documents, got hired at the construction site, and then his brother went for work instead of him.
  • For each worker using forged documents, a fine of $7,600 or even more may be imposed, and the construction process may be suspended for 14 – 90 days with almost catastrophic consequences for a general contractor and customer.
  • That is why the contractor asked CROC for help.

How to solve a problem?


Initially, the construction site was equipped with just run-of-the-mill employee recognition systems:

  • Palm vein identification, which performs poorly even in clean offices if people eat some greasy food there. After eating, this vein pattern changes causing recognition errors.
  • Iris identification, which is more expensive and time consuming. It is hardly the best option  when every morning buses arrive at a construction site and some 600 workers have to pass the checkpoint within one hour, from 7 to 8 a.m. It’s as slow as a snail!
Therefore, it was the time to try video analytics.

Each turnstile is equipped with two cameras: one aimed at incoming people, and the other, at outgoing.

There is a small cooled server room on site, having a rack with two servers and a switch. The first server receives video stream from cameras and identifies frames containing faces and being of the best quality. The second server receives these “clear” frames with faces and runs a recognition algorithm to find a match in a database. 

If a frame contains only one face and this person is authorized to pass through, then the turnstile opens. Otherwise, a guard is alerted.

No Internet connection is needed for the system, just a copper cabling on site. However, if connected, the system allows for continuous monitoring, email reports, and remote second line support for operators.

The system runs perfectly in typical situations:
  • Using a pass card of another person to enter — an alerted guard stops a trespasser and investigates the incident.
  • A former employee attempts to enter the site — a guard does not let him in.
  • An employee attempts to enter the site in wrong time — a guard asks the employee to get a pass card at an access control office and then come back to the checkpoint.

In addition, every evening, executives get a report on how many people were scheduled for work and how many arrived actually. It is very important since contractor’s favorite trick is to schedule 50 workers, provide only 30, and then report on 50. 

Moreover, this information — like 600 people scheduled, only 450 arrived — shows if a project is running out of time already. And you see it right now, but not a week or month later.

Outcome


Morning queues have almost disappeared. Instead, it takes one hour for two turnstiles to let 700 people in, even including guard intervention cases. The customer enjoys reports on the actual number of people arrived at the construction site, which was a sad news for some of the contractors. Neither a $7,600 penalty nor work suspension for 14 – 90 days is pending now, with the system itself costing less than this penalty.

NNTC actively partners with CROC and implements face recognition solutions in GCC countries. If you are interested in this technology, feel free to contact our consultants.