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On the internet, millions of videos equivalent to years of recording are uploaded daily, whether using sites like YouTube, TikTok, and Facebook from devices like cell phones, personal drones, or surveillance cameras. With the new capabilities of computer vision technology, we have the ability to mine these visual data to gain valuable insights into what is happening in the world. However, video content has been little explored until now in its direct relationship with Big Data. [caption id=”attachment_3114” align=”alignnone” width=”640”] Surveillance cameras and their power as Big Data tools[/caption] Video as a data source has the power to give us information about how people interact with the world around them, unlike any other data source. Video provides real-time data on behavior happening in the present, not just in the past — whether in analyzing traffic patterns for the entry and exit of specific factories or the hours when most children arrive and gather inside and outside schools in a given city.
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Monitoring cameras
Until now, the extraction of intelligence from video content has been mainly "manual", through human observation — literally, a human watching the video and noting what is happening. However, this process is extremely tiring and, due to the flaws of the human eye, any manual analysis of large quantities of patterns can end up subject to various errors. [caption id="attachment_3116" align="alignnone" width="319"]Video content intelligence extraction[/caption] To transform video data into useful Big Data, the analysis of these materials can involve the use of computer vision algorithms to detect patterns of specific individuals and object shapes automatically, and in real time, tracking every movement and keeping a history of activities. As video and data analytics become widely accessible, our way of understanding the world changes radically. Innovative solutions like Pix Safety, from Pix Force, for example, can turn a simple camera into a powerful Big Data tool, using sophisticated algorithms linked to visual surveillance systems to detect faces, objects, and patterns. Let us imagine, for example, how this solution could hypothetically be used in a computer screen parts factory. Operating in direct work with the on-site cameras, Pix Safety's intelligent solution can constantly monitor both the production area of the industrial plants and the entry and exit point of the factory. This system is capable of tracking the activity pattern of each employee entering and leaving the premises, thereby allowing the possibility of alerting the employee when minimum safety equipment requirements are not detected on them. Thus, industries can ensure that their employees adhere to appropriate protection standards. Are you interested in this subject? Access www.pixforce.com.br and speak with our team for more details about our solutions.
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
