In the past, administration was heavily reliant on manpower and so investment went mostly on increasing the number of people dealing with the problems. However, this no longer applies since both the population and data have exploded in the process of urbanisation. The huge expense on manpower is now disproportionate to the satisfactory result achieved, especially where safety is concerned. 

Boasting its AI technologies and highly integrated platform, the Dahua Smart City Solution aims to address safety issues of mega-cities without dramatically expanding police forces. To be more specific, the deep-learning empowered video surveillance performs timely and effective risk detection. The unified platform allows for a faster emergency response. And the powerful data mining helps to get more insights from the data front-end systems collected. Combined together, according to the company the Dahua Smart City Solution gives an unprecedented advantages.

For example, the deep-learning technology redefines the capabilities of video analysis as we know it today. Ranked No.1, Dahua achieved 99.78% facial recognition accuracy in LFW (Labeled Faces in the Wild, a well-known facial recognition benchmark for academic purposes) in October, 2016. Moreover, deep-learning even allows instant classification of humans and vehicles appearing in video, capturing extract detailed features such as colour of clothing, gender, headwear, handbag for people and license plate numbers, vehicle colour, size, mark, model, cellphone usage, seat belt usage for vehicles.