TIMELINE

Aug2024 - Dec2025

The end-to-end innovation journey

The AI AC Control Device is a cutting-edge solution developed for the State Bank of Pakistan to remotely control the air conditioning systems of 250,000 ATMs nationwide. Using artificial intelligence, it adjusts cooling levels based on foot traffic and ambient temperatures, optimising energy consumption and cost savings. A commercial version of this device is also in testing, which will revolutionise AC efficiency in various industries.

The challenge

The project required a highly scalable, AI-driven system capable of autonomously regulating AC units across a vast national network of ATMs. The goal was to minimise energy consumption without compromising internal ATM temperature thresholds, even in regions with fluctuating climates. The system needed to process real-time environmental data, including human presence and external temperature, and respond accordingly with precise cooling logic. This required edge-level intelligence, robust IoT architecture, and seamless integration with a centralised control system. Additionally, the design had to ensure long-term durability, low maintenance, and compatibility with both existing and future AC infrastructure—while also preparing the device for commercial rollout beyond banking.

Our approach

Our engineers developed a custom AI model trained on environmental and behavioural datasets to predict energy needs dynamically. We designed and built IoT-enabled hardware with edge computing capabilities to ensure localised decision-making without constant server reliance. A secure, centralised dashboard was created to monitor and control all deployed units, while our embedded team ensured seamless firmware integration with varied AC systems. We conducted rigorous stress and field testing to validate performance across different geographic and thermal zones. Simultaneously, we began prototyping a commercial variant with additional configurability for broader industrial applications, all while keeping the focus on energy efficiency, adaptability, and system-wide scalability.

The solution

The final product incorporates advanced AI algorithms to predict energy usage based on foot traffic and ambient temperatures, alongside IoT-enabled remote control across 250,000 ATMs. It operates autonomously, dynamically adjusting cooling to reduce energy consumption without sacrificing performance. A secure, cloud-based dashboard provides central visibility and control, while the embedded hardware ensures fast, reliable decision-making at the edge. Built for scale and long-term deployment, the system has proven its impact in real-world use and is now being adapted for commercial industries looking to modernise their climate control infrastructure.