Difference between revisions of "Safe City deployments in Mauritius"

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Revision as of 16:37, 26 January 2023

Safe City deployments in Mauritius
Excluded from graph
Deployment Status Ongoing
Deployment Start Date
Deployment End Date
Events * uses Record type Property:Has event

End (1 January 2021, Speculative, , No description)

City Port-Louis
Country Mauritius
Involved Entities
Keywords
Technology Deployed Safe City Software by Huawei
Information Certainty Documented
Primary sources 1, 2
Datasets Used Unknown Dataset 0165
Deployment Type Biometric Cameras, Criminal investigations
runs search software
managed by Huawei
used by Mauritius Police Force
Potentially used by
Information Certainty 0
Summary Mauritius had insufficient results to handle its security needs, primarily due to the growing number of urbanised cities in the country. As a result, Police Force of the country, together with Chinese Huawei launched the Safe City system in the country. It covers multiple cities and involves deploying different systems, in particular cameras with facial recognition technology, to increase the safety levels of the island. The Safe City system includes facial recognition technology, video analysis providing intelligent search, information for incident investigations.


Deployment Purpose: Surveillance, Traffic Surveillance, Access Control

Summary
Mauritius had insufficient results to handle its security needs, primarily due to the growing number of urbanised cities in the country. As a result, Police Force of the country, together with Chinese Huawei launched the Safe City system in the country. It covers multiple cities and involves deploying different systems, in particular cameras with facial recognition technology, to increase the safety levels of the island. The Safe City system includes facial recognition technology, video analysis providing intelligent search, information for incident investigations.



Location:

CityPort-Louis
Country Mauritius
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Description[ ]

In the project’s early stages, Huawei and MT (Mauritius Telecom) succeeded in simulating the scenarios of theft of tourists’ goods or vehicles, covering the following processes: incident reporting, call taking, dispatching, image-based investigation (video playback, facial recognition, and reverse search), and suspect and suspicious-vehicle surveillance. The demonstration greatly impressed the MPF and Ministry of Public Infrastructure and Land Transport.
Delivery of the project’s first phase is currently underway, with completion expected in 2019. Once the project is successfully delivered, the solution will provide visualized command and efficient collaboration for the MPF (Mauritius Police Force) and Ministry of Public Infrastructure and Land Transport. Emergency response time (call taking and dispatching) will be reduced to less than 15 minutes, the emergency handling efficiency will be improved by 60 percent, and the linkage between the Safe City system and incident reporting system will effectively reduce crime rates.
The solution provides the following intelligent analysis functions for efficient case investigation:

Facial recognition
The system automatically generates alarms when detecting suspicious personnel. Facial recognition accuracy exceeds 95 percent, and license plate recognition accuracy exceeds 99 percent.

Intelligent search
The system can quickly locate recorded objects and identify features, improving search and video analysis efficiency by nearly 25 percent.

Video synopsis
Several hours of recorded video can be aggregated into minutes. For example, a 50-minute video clip can be aggregated down to two minutes.

Intelligent applications

Track analysis and real-time surveillance provide valuable clues for case and incident investigations.

Intelligent road surveillance also greatly improves traffic control in Mauritius. Specifically, road surveillance improves road capacity, thereby decreasing the rate of roadway accidents by 45 percent. In addition, the system supports vehicle identification (such as cloned license plates and stolen vehicles) and blacklist control. That is, the system can proactively detect blacklisted vehicles through surveillance cameras along the road and report them in a timely manner, implementing multi-department linkage.2

4000 cameras in the cities of Mauritius have facial recognition technology. In 2021 120 criminal cases were resolved thanks to the Safe City deployments.

La technologie de reconnaissance faciale est installée dans les 4 000 caméras de Safe City. Cette technologie sera utilisée pour suivre le mouvement des criminels récidivistes, les personnes recherchées et celles portées disparues.

« Les images de ces catégories de personnes seront téléchargées sur la base de données du système par des policiers formés et autorisés », a expliqué le chef du gouvernement. À noter qu’en 2021, 120 affaires ont été résolues grâce aux caméras de Safe City. 2

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References

  1. ^  "Building a Safe Mauritius, the Inspiration for Heaven". (2022) <https://e.huawei.com/topic/leading-new-ict-ru/mauritius-safecity-case.html>
  2. a b c  "Safe City : la reconnaissance faciale toujours pas opérationnelle". (2021) <https://www.lemauricien.com/actualites/societe/safe-city-la-reconnaissance-faciale-toujours-pas-operationnelle/460887/> Accessed: 2022-12-09