The Centre is preparing to roll out an AI-enabled smart streetlighting programme in Andhra Pradesh, marking a major expansion of intelligent lighting technology across the state's urban areas. Energy Efficiency Services Limited (EESL), a joint venture of public-sector enterprises under the Ministry of Power, is leading the initiative in collaboration with urban local bodies. 
The programme is planned across 123 urban local bodies in Andhra Pradesh, covering municipalities and other urban jurisdictions. It is intended to replace conventional streetlight management systems with technology-enabled infrastructure capable of monitoring lighting assets and adjusting operations according to real-time requirements. 
A key component of the programme will be the use of artificial intelligence and intelligent lighting technologies. The systems are expected to support automated control of streetlights, allowing lighting levels to respond to factors such as traffic movement, time of day and prevailing conditions. Remote monitoring can also help authorities identify faults and manage streetlight networks without relying entirely on physical inspections. 
The initiative is being positioned as a shift from conventional streetlight infrastructure towards a centrally managed, data-driven system. Such a network can provide authorities with information on individual lighting assets, operational performance and faults, potentially allowing maintenance teams to respond more quickly to failures. 
Energy efficiency is another major objective of the programme. LED lighting already consumes less electricity than conventional lighting technologies, while intelligent controls can further reduce consumption by avoiding unnecessary operation at full intensity when road-use conditions do not require it. 
The project could also have implications for municipal expenditure. Automated monitoring and predictive maintenance capabilities may help urban local bodies identify equipment failures before they become larger maintenance issues. A centralised management platform could additionally provide authorities with a consolidated view of streetlighting infrastructure across different locations. 
The proposed deployment comes as cities and municipalities increasingly look towards connected infrastructure for managing essential urban services. Streetlighting is among the municipal systems that can be integrated with digital monitoring platforms because lighting assets are distributed across large road networks and require continuous operation and maintenance. 
According to the project plans, EESL will work with the participating urban local bodies to implement the smart lighting systems using globally established intelligent lighting technologies. The programme is expected to establish a common technology-led approach to streetlight management across a large number of urban jurisdictions in Andhra Pradesh. 
The scale of the proposed rollout is significant because it extends beyond an individual city or municipal corporation. Covering 123 urban local bodies would allow the programme to create a statewide network of smart street lighting infrastructure and provide a broader base for monitoring energy consumption and operational performance. 
The implementation process will determine the eventual scale of deployment, technology configuration and measurable savings. The effectiveness of the system will also depend on the quality of network connectivity, asset management and the ability of local authorities to integrate the new technology into their existing municipal operations. 
The proposed AI-enabled streetlighting programme marks a move towards technology-driven management of public lighting infrastructure in Andhra Pradesh. With EESL planning deployment across 123 urban local bodies, the initiative could create one of the country's largest coordinated smart street lighting networks. Its success will ultimately depend on implementation, system reliability and the ability of participating municipalities to use real-time data for energy management and maintenance.