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Efficiency of public lighting management is getting relevant. Due to costs reduction “obligation” some entities have been falling in the temptation of power off street lighting. Once that this procedure puts in risk people and goods’ security and considering that there are many lighting flux reduction solutions on the market it will be proposed a new approach. It was developed a prototype to allow managing of public lighting in an integrated way and based on Artificial Intelligence. Major goal is to achieve a higher level in which operational simplification can be made with significant cost reduction and operative optimization. Besides that, proposed approach, recurring to information systems’ supported on neural networks and functional layers can be used on this particular domain contributing to benefit public lighting systems in a remarkable way concerning profitability return of investment and operationality.