Facial recognition deployed in network of over 5000 CCTV cameras in Kuala Lumpur
Information Certainty: Documented
Deployment Purpose: Surveillance, Missing Person Recovery
| Summary |
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| Kuala Lumpur has deployed public facial recognition/biometric mass surveillance using a network of 5,000 cameras in public places and buildings, plus another 500 in convenience stores. It can be speculated that the supplier may be NTech as they are a major supplier of retail biometrics in Malaysia however this is uncertain information. Monash University researchers ran a study on the video system to develop a weapons detection algorithm and are working on violence detection. This involves determining a relation between the object wielded, the person, and the persons behaviour. This implies that person recogniton, gait recognition and behavioural analysis may also be being run on the footage. The Royal Police Force of Malaysia also has access to the footage. |
Products and Institutions:
| Product Deployed | |
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| Institutions ⠉ | |
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| Search software |
Status and Events:
| Status | Ongoing |
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| Events | Start (1 August 2020, Speculative, , No description) |
| Start Date | |
| End Date |
Users:
| Involved Entities | |
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| Managed by | Royal Malaysia Police |
| Used by |
Location:
| City | Kuala Lumpur |
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| Country ⠉ | Malaysia |
Description[ ]
Uncertain information: Datasets Used
- Datasets Used: NTech (Information Certainty: Speculative,Description: Lists NTech facial recognition as major supplier of facial recognition to Kuala Lumpur and retail stores in Malaysia)
- Citation keyThis property is a special property in this wiki.: rajIncreasingDemandFacial2021
In 2020, it was reported that a network of CCTV cameras using facial recognition was in the process of being deployed in Malaysia. 500 cameras were placed in convenience stores.
Kuala Lumpur Police chief Datuk Seri Mazlan Lazim said by the installation of facial recognition closed-circuit television (CCTV) cameras in convenience stores the faces of criminals can be clearly recorded to trace their identities. “Criminal activities often occur in convenience stores, especially those that operate 24 hours (before the implementation of the Movement Control Order or MCO) involving robbery and theft. “The police welcome the installation of face recognition CCTVs in every shop because crime can happen at any time,” he told reporters at the launch of the facial recognition CCTV system at KK Mart, Taman Desa Petaling here, yesterday. He said the use of facial recognition CCTV system could also help police track down individuals reported missing 2
Around 5000 were placed in other areas and buildings in the city. It will be using 5G technology, which is said to be latency-free and able to record real-time video feed at 4K resolution. 5G would also allow for facial recognition, and it can alert authorities of any suspicious activities or crimes that take place 1
A university team ran a study on the video footage from the cameras. They are now attempting to develop a form of behavioral recognition to identify violent behaviour, in identifying the nature of the relation between the weapon and the person.
The Monash University Malaysia team has completed stage one in developing a smart surveillance system that can accurately detect handguns from surveillance cameras in real time. The team initially focused on automated handgun detection, given that crimes using firearms are more prevalent globally, especially in the Americas and in parts of Southeast Asia. The outcomes of the research were published in the Engineering Applications of Artificial Intelligence journal. The team also won a gold medal for the project, named the Monash Automatic Gun Detection System (MAGTS), at the 31st International Invention, Innovation and Technology Exhibition 2020 (ITEX 2020). The researchers are now formulating an accurate human-to-weapon model for classifying aggressive human actions, which represents the second stage in realising a smart video surveillance platform. They’re also fine-tuning the outcomes from stage one of the research to detect knives and machetes, which are more prevalent in robberies carried out in Malaysia 3
References
- a b "5,000 CCTV cameras to be installed in Kuala Lumpur. Here's why.". (2020) <https://sea.mashable.com/tech/11637/kuala-lumpur-will-install-5000-cctv-cameras-to-keep-shoppers-and-business-owners-safe> Accessed: 2022-11-29
- a b "Facial recognition CCTVs at convenience stores help curb crime - Mazlan". (2020) <https://www.thesundaily.my/local/facial-recognition-cctvs-at-convenience-stores-help-curb-crime-mazlan-EA3417556> Accessed: 2022-11-29
- a b "Caught on camera: Using AI to combat street crime". (2021) <https://lens.monash.edu/@technology/2021/11/16/1384038?slug=caught-on-camera-using-ai-to-combat-street-crime> Accessed: 2022-11-29