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How these cities are used with AI-affiliated video surveillance

How these cities are used with AI-affiliated video surveillance

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Experts integrate artificial intelligence (AI) into every conceivable sector. From retail to health care, it enables better accuracy and faster workflows. It may not be surprising that legal and security providers also examine how AI can optimize your operations. The following cities used the AI-driven video surveillance in different ways.

1. Seoul, South Korea

Dejaview aims to recognize and predict crimes in Seoul to help the law enforcement authorities. The researchers formed the system for position decision-making technology, the CCTV film material (Old Closed Circuit Television), the crime statistics and other details so that they are signals that indicate that illegal activity takes place or soon takes place. The police can now scan faster what CCTV systems capture because AI monitors suspicious areas, times and human movements.

A mobile automated surveillance assistant is also in the works. Von Juli 2025 bis 2029 werden 13,99 Milliarden ₩ ₩ ₩ ₩ 13,99 Milliarden für die Entwicklung eines mobilen Überwachungssystems entstehen, das Kriminalität anhand von Stimme erkennen kann, Autos illegaler Fahrgewohnheiten erkennen und Beamte auf dem Weg zu einer Szene auf Hindernisse aufmerksam machen.

2. Kuala Lumpur, Malaysia

The Kuala Lumpur town hall announced in 2024 that there were 5,000 AI compatible CCTV cameras in markets, parks, crime hot spots and high trade. Officials say that the cameras should help them reduce traffic jams and crime by monitoring illegal ads, suspicious activities and violations of traffic. It can even help you to recognize flood risks and to react faster to floods.

Kuala Lumpur City Hall officials say that the installations are part of its traffic management and security efforts and improve operational efficiency. They also hope to create a city where people feel safer.

3. Hong Kong, China

In KWun Tong in particular, a project of 2025 is started in the third quarter of reducing traffic. The cameras will examine the streets to monitor the overload, inform users about accidents, recommend traffic lights and to support the accidents faster. In order to feel the public, the officials have clarified that the system does not use facial recognition and that the film material deletes after 28 days.

In 2024 there were also efforts to monitor crime with AI and CCTV film material. The city installed 15 cameras in Mong Kok in April and examined 13 crimes, including an incident of two people who installed the wrong keyboard and a card reader in an ATM. The police commissioner Raymond Siu said that after 2024 there was 2,000-2,500 cameras, while the public has assured that recording videos would only remain with strict access guidelines for 30 days.

4. Singapore

Whole Singapore is full of ideas for AI-driven video surveillance. Thanks to the requirements of the MANPOW Ministry, construction projects that cost 5 million US dollars or more after June 1, 2024 to identify this technology to identify uncertain measures or conditions for jobs. The high -ranking Minister of State for Labor said that the government wanted to create a security culture for security in Singapore, so that fines for employers will increase against protocol of 20,000 to 50,000 US dollars.

There are also technical -based efforts to reduce garbage. Amy Khor, Minister of State for Sustainability, said the plan was to identify areas with high waste, to inform the residents about the increase and to advise them on reduction strategies. If the waste rates do not fall, cameras are installed with analytics to catch the offenders. While the program enabled 3,300 actions, Khor only adds the technology to the department and public relations is of crucial importance.

The law enforcement also uses AI video cameras. The command center for police operations used its police camera (Polcam) in 2012. Since then, over 90,000 Polcams of the police in Singapore have helped in more than 7,500 cases. From 2023 there were 200,000 more to install in the mid -2030s.

Risks and challenges of AI-driven video surveillance

The use of AI in addition to video surveillance can make legal and security more efficient by video surveillance, but there are factors that are aware of. In order to avoid financial and legal problems, cities must take these problems and threats into account:

  • Data management: AI-capable video surveillance generates massive amounts of data that require an analysis and storage. The cities have to deal with the securing of this information at rest and transit and delete them safely to avoid a gold mine for cybercriminals.
  • Public buy-in: Are you really interested in automated surveillance? Innovations such as facial recognition could cause privacy, false positive aspects, tracking and overuse. Some may also take care of abuse, e.g. B. the use to address certain population groups or demonstrators. Urban decision -makers must be transparent on how to use AI and value rails.
  • Cyber ​​attacks: Experts found that monitoring the street videos is one of the most risky technologies for intelligent city. Since personally identifiable information is on the pipe, threat actors will probably start attacks to get to get. The public must know this risk, and technology experts have to use best practice cyber security in order to keep thieves away.
  • Bossy: An algorithm is only as impartial as the data on which it is trained. If the training data – intentionally or unintentionally – are full of stereotypes, this can lead to incorrect results that incorrectly interpret the populations. Several different parties should check the training information in order to reduce the likelihood of distortion.

AI-powered video surveillance could change urban security

AI has made massive progress in several industries, including law and security. These camera systems can help the police officers react to incidents earlier, and health and environmental staff ensure that companies and citizens follow protocols. However, their implementation and use deserve extreme care.

ZAC Amos is the features editor at Rehack, where it covers business tech, HR and cyber security. He is also a regular contribution to all -business, talent culture and venturebeat. For more of his work they follow him further Twitter Or LinkedIn.

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