In order to ensure COVID-19 pandemic protocols compliance for the safety of passengers and staff, the GMR Hyderabad International Airport (GHIAL) has implemented a Queue Management Systems (QMS). The QMS integrates IoT security cameras and Artificial Intelligence (AI) video analytics that help to improve and manage passenger movement thereby reducing the crowds at passenger-touchpoints such as the check-in counters, security check-ins, immigration, baggage carousel, etc.
The GHIAL has collaborated with AllGoVision Technologies to ensure that the project is implemented smoothly. The QMS uses a camera-based video analytics technology that will continuously observe passenger movements on a few key parameters such as peak passenger waiting time, key zones where there is excess crowding etc. and take corrective actions to overcome such issues. This will be a corrective step to ensure the safety of passengers and airport staff.
Deep Learning-based AI models will support advanced video analytics to accurately measure passenger behaviours over time. The combo-technology will also, help in enhanced security measures at the GHIAL such as camera tampering, loitering, parking violation, object classification, wrong-way detection, and left object detection.
Pradeep Panicker, CEO, GHIAL, said, “GHIAL has adopted a slew of safety measures to ensure our passengers feel safe when they transit through the airport. With this smart queue management technology, security and safety takes the airport experience one notch higher and creates passenger confidence while ensuring seamless operations.”
K Srinivasan, the CEO, AllGoVision, said, “Leveraging the Artificial Intelligence/Machine Learning technology, our detailed Queue Management solution aids in providing accurate business intelligence for managing people at Airport entrance, service counters, security booths, and immigration counters.”
Source: indiaai.gov.in
