RENAULT TWINGO

cleveR insights

understand the city in real time to act more effectively

cleveR insights is an intelligent ecosystem capable of analyzing and mapping the urban environment

it supports public-sector players in taking effective action

 it can be integrated into Renault Twingo E-Tech electric, a city-car by nature, to improve the quality of life for all.

Renault cleveR insights concept
small in size, big in use

Renault Twingo E-Tech electric is designed for urban mobility with its small footprint and agility. Augmented with sensors and cameras with the cleveR insights device, each of its journeys becomes an opportunity to collect data, analyze it and add value to it.
cleveR insights
from connectivity to augmented vision

Renault Twingo E-Tech electric was already connected. With cleveR insights, it equips itself with AI video analysis, capable of analyzing images and rendering an intelligent map of its environment in real time, which is automatically relayed to local authorities.
customised interface - Renault cleveR insights concept
customised interface

If required, the driver can access the information collected in real time and view it on the central screens, which feature a customised interface. Depending on the data captured, a dynamic map appears and is enhanced in real time. 

cleveR insights: understanding the city to better transform it

for the benefit of users - Renault cleveR insights concept
for our customers

With cleveR insights, urban areas develop a clearer understanding of their surroundings Agents' journeys in the field become a source of information, enabling us to identify actions to prioritise in order to better coordinate the city's professions and optimise their efficiency.
cleveR insights contributes to improving the urban environment. 
a field experiment - Renault cleveR insights concept
a field experiment

Paris-Saclay, an innovative area undergoing rapid transformation, is becoming the testing ground for Software République and Renault. 
cleveR insights has been tested in real-life conditions to map the city and target needs: roadworks, infrastructure repairs, identification of heat islands, etc.      

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