The Timelapselab software allows to detect and blur in real time sensitive data present in the photos taken such as
Software and artificial intelligence
Simplify construction site management with completely remote monitoring and with the support of artificial intelligence. The software will optimize the monitoring of all site activities: visual data available on the platform, alert system that sends notifications in case of anomalies and much more.
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CHARACTERISTICS
Alert system
The platform sends swift notifications in case of anomalies such as power failures on site and access during non-working hours. The alert messages are easily manageable by setting the activation and sending frequency. By setting the site working hours, you will receive an email message in case of detection of intruders. The alert message will be immediately sent by email to always have your construction site under control and prevent any inconvenience.
The types of alerts are: malfunctioning, access control, weather alert, intrusion of people or vehicles inside the construction site outside of working hours.
Blurring of sensitive data
Neural networks detect sensitive data present in the images and blur them, to guarantee complete privacy compliance. In this way privacy is ensured, as stated by GDPR regulations and article 4 of the Workers’ Statue.
Vehicle and people counting
The software developed by Timelapselab detects and counts people and vehicles present in the images. The data is elaborated and reported into a chart accesible to the client. This instrument was designed to analyze traffic on site and optimize services. The chart will provide data on minimum and maximum influx of people and vehicles in different time slots.
AI & activity
For what concerns AI, we are actually developing a software to track the activity volume on the building site. Thanks to the data captured by our AI we are able to tell the chief supervisor what the real activity volume is; data is about intensity and weather conditions in order to control the efficiency on the building site.
Data and graphics
The data is visualized thorough some graphics about intensity and activity (daily or weekly) and are combined with data about the weather conditions day by day. This is done so that the chief supervisor can see the correlation between weather conditions and activty.
Data are created by our AI through counting people, vehicles and their mobility on the site on a daily basis.
Data are created by our AI through counting people, vehicles and their mobility on the site on a daily basis.
Meteo and pollution data
Thanks to the accurate location provided by our devices, we are able to collect information on the weather forecast and air pollution present in the device area. It’s possible to know the weather forecast for the next 12 hour and more generally for the next 7 days. In addition, a lot of data is provided on current weather conditions, such as temperature, cloud cover, humidity, pressure etc.
These data, collected automatically once an hour, are stored and shown through graphs and summary tables, in order to view a weather history on the site area. This also applies to pollution data in the same way: the presence of numerous atmospheric pollutants in the air is detected: carbon monoxide, nitrogen monoxide, ozone etc.
To obtain those data, a numerical weather forecast model (NWM) is used. It uses different data sources:
– global models
– weather radar data
– satellite data
– meteorological stations
The data are downloaded and saved from these sources, then processed by the algorithm in real time, to improve their quality and accuracy.
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