Over one thousand delegates are slated to attend the Africa Smart and Sustainable Cities Investment Summit 2024 in Kenya’s capital Nairobi next month.
With a total of 99 speakers drawn from over 30 countries, the summit (25-27 September) is also expected to attract about 30 exhibitors and more than 18 ministers and mayors according to organisers.
It should be remembered that the continent is gearing up to welcome a staggering 760 million urban dwellers by 2030, a 50% surge from 2015, thus there is an urgent need to harness the power of technology.
Experts, and industry leaders will be deliberating with the aim of unlocking the immense potential of smart cities to drive sustainable growth, enhance livability, and foster innovation across Africa.
The aim of AI City is to promote a responsible development of artificial intelligence systems to respond to the emergency of urban violence, acting on local policies (general guidelines for the promotion of integrated security and pacts for the implementation of urban security) to make cities safer without neglecting fundamental rights.
For more than a decade, there has been a widespread belief that video surveillance makes great contributions to public security, both in a preventive (as a deterrence tool) and repressive (as a means of identifying and detecting perpetrators of offences that have already been committed) key.
The most recent developments in digital technology have caught up with and enhanced the device, opening up scenarios that were unimaginable until some time ago: with the help of video surveillance cameras, in fact, it has become possible to recognise the individual filmed by cross-referencing the images with other personal data and automatically detect suspicious behaviour, recording and reporting it.
The phenomenon shows itself in all its disruptiveness as a result of recent developments in Artificial Intelligence, which can further improve the performance of machines.
Indeed, ‘intelligent’ video surveillance systems are able to detect human presence (Human Detection) in their field of view.
This makes it possible to distinguish humans from animals, increasing the efficiency of the intrusion detection system.
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