Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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Flightscape
Flightscape Airport Management offers an integrated, cloud-native solution designed to choreograph airport operations across all stakeholders and phases of the airport day. It brings together real-time operational data, alerts, and dashboards so airport control centres can monitor arrivals, departures, aircraft stand and gate occupancy, ground-handling tasks, resource usage, passenger flows, baggage connections, and disruption scenarios in one unified view. Flightscape’s modular architecture allows operators to deploy exactly what they need, whether gate-turn-planning, stand-allocation, turnaround coordination, or full operations-control centre workflows. Because it is built as a modern SaaS platform, it supports rapid updates, flexible scaling, secure APIs for integration with existing systems (such as AODB, resource-management, ramp-handling, crew, and airline operations systems), and continuous delivery of enhancements without heavy local IT overhead.
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GroundStar
GroundStar, the Airport Resource Management solution by INFORM Software, is designed to optimize the allocation and usage of fixed airport infrastructure such as stands, gates, baggage belts, and check-in counters. It enables airports to efficiently plan short-, medium-, and long-term capacity by applying built-in optimization algorithms that consider business rules, stand and gate preferences, and infrastructure constraints. It supports sophisticated what-if scenario modelling and real-time decision support, allowing resource managers to respond quickly to deviations or disruptions. By leveraging machine-learning-driven analytics and historical data, the software predicts resource utilization and helps minimize bottlenecks, enabling smarter allocation of resources on the day of operation and improving punctuality and passenger/airline satisfaction.
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ArcPORT
ArcPORT is a fast time simulation software focused on the analysis of passengers and baggage in airport terminals and other passenger transit facilities. The software offers advanced features for modelling, simulating and evaluating the operations, efficiencies and capacity of entire terminals or isolated processes such as check-in halls, security, immigration or waiting lounges. ArcPORT is used by designers, planners, airlines and operators to evaluate their designs, process or system changes, infrastructure modification or expansion requirements and many other what-if scenarios, enabling stakeholders to make better informed decisions before incurring significant costs. ArcPORT provides a platform to evaluate and communicate the effectiveness of new or revised terminal layouts or operational processes, maximizing benefits and minimizing costs.
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