GMR Hyderabad International Airport (GHIAL), in collaboration with AllGoVision Technologies, has implemented Queue Management Systems combining IoT security cameras and AI video analytics to improve passenger experience by reducing waiting time at passenger touchpoints.
The tech solution uses advanced camera-based video analytics which helps the airport staff to constantly monitor various key parameters such as peak passenger waiting time and take corrective actions as required.
The advanced video analytics platform analyses the video feed from various cameras and uses Deep Learning based Artificial Intelligence (AI) models to accurately estimate passenger statistics over time.
Additionally, GHIAL is also using the technology for enhanced security such as camera tampering, loitering, parking violation, object classification, wrong-way detection, and left object detection.
Pradeep Panicker, CEO-GHIAL, said:
“Passenger safety is the key concern in the present pandemic times. 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.
“GHIAL has always been in the forefront when it comes to implementing innovative technology solutions. We are glad to have partnered with AllGoVision in the implementation of this AI-based technology that will further instill confidence in air travel.”
Further elaborating on this partnership, K Srinivasan, CEO-AllGoVision, said:
“We are thrilled with the success of the solution implemented at Hyderabad Airport and would like to thank GMR Group for placing their trust in us.
“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.”
