![](https://static.wixstatic.com/media/c5a8e0_8bd01b21a30749bba46afd90067c68c7f000.jpg/v1/fill/w_1920,h_1080,al_c,q_90,enc_avif,quality_auto/c5a8e0_8bd01b21a30749bba46afd90067c68c7f000.jpg)
AI-Powered Smart City (prototype)
![smart city AI](https://static.wixstatic.com/media/c5a8e0_e596d92933e3497292663334701cfc1f~mv2.jpg/v1/fill/w_805,h_430,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/adobestock157226420-1024x530_edited.jpg)
![clock](https://static.wixstatic.com/media/c5a8e0_4c758907cf444c1682866edef6e90b77~mv2.png/v1/fill/w_78,h_78,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/c5a8e0_4c758907cf444c1682866edef6e90b77~mv2.png)
3' read
Problem
Smart City's require vast data intake from sensors to run efficient and green operations. Machine learning models and Analytical-tooling to be developed, but also deployed and managed on appropriate centralized platform for governance.
​
Solution
-
Created technological change management roadmap overviewing technology tool / model ecosystem, platform solution architecture and governance policies
-
Designed Computer Vision models such as YoloV8 to detect cars, bikes and moving objects from sensor data
-
Generative Predictive models to manage EV charging stations / other assets for cost and resource management
-
Designed high-performance and low latency data streaming solutions to ensure real-time and accurate monitoring of data-feed transmitted from sensors.
-
All models and dataset computed on C3 AI engine and deployed on Smart City appropriate front-end application, Modzy to centralize management.
Impact
-
Improved efficiency on charging stations, street traffic and other city-assets
-
Centralized governance and cost management on suite of Machine Learning / AI models
-
Positive green-impact on city-wide renewable resources
-
Improved lives for citizens, businesses and overall municipalities