Scientists developed a system using artificial neural networks to detect how many people are in a building in real-time. This system can help save energy by adjusting heating and cooling based on actual occupancy. By tracking tagged occupants, the system can optimize energy use in buildings. The results showed that using occupancy information can significantly reduce energy consumption in buildings.