Sydney Moves one Step Closer to a Social Credit System

As reported by The Sydney Morning Herald, Several sophisticated CCTV cameras with built-in facial recognition technology will be monitoring the MOOD of Sydney residents who are going to the Mardi Gras Parade tonight. If they seem people are looking hostile, police will automatically be called to defuse the situation.

Another technology that measures radiofrequency has also been separately installed at shop fronts in Surry Hills and Darlinghurst to count all the people that will be taking part in the WorldPride parade.

The company that is implementing this is called DCM which stands for Dynamic Crowd Management. On their website, they claim that their technology is “The World’s Most Effective Insights For People Management”.

ver the years, Closed-Circuit Television (CCTV) cameras have become an essential part of modern society’s security infrastructure. CCTV cameras have been used for a wide range of purposes, from deterring crime and providing evidence in criminal investigations to monitoring public events and managing traffic.

However, the latest advancements in CCTV technology have taken things to the next level. In recent years, there has been a rise in the use of sophisticated CCTV cameras that can detect and analyze a person’s mood. This brings us to tonight, the first time this technology will be fully functional to its full capabilities and it will be done so at the Sydney Mardi Gras, a popular annual LGBTQIA+ festival that celebrates “diversity and inclusion”.

“The technology helps with managing the safety of the crowd by measuring capacities, allowing operations to zone in on an area that needs immediate response or to plan ahead for where there are areas of growing crowds,”

a Mardi Gras spokesperson said.

These sophisticated CCTV cameras are equipped with facial recognition software that can analyze a person’s facial expressions, movements, and even the tone of their voice to determine their mood. The technology uses a combination of artificial intelligence (AI) and machine learning algorithms to analyze the data captured by the cameras and provide real-time feedback.

The primary purpose of these cameras is to monitor the crowd and identify potential threats. The cameras can detect if someone is behaving aggressively, exhibiting signs of anxiety or distress, or engaging in suspicious behavior. The system can then alert security personnel to investigate the situation further.

However, the use of these cameras goes beyond just security. It’s a test of technology to see if it is a viable option to be permanently implemented in NSW and other states across Australia. It has also sparked major ethical concerns and questions about whether this is even necessary, something that hasn’t been proven by any data that it is.

Another demonstration of how the NSW Government does not trust its citizens.

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