LandingLens makes it easy to build and scale computer vision systems to transform visual data from cameras and other IoT devices into usable, actionable data. Computer vision in infrastructure management empowers urban planners, construction firms, and government agencies to process huge volumes of images, extract key information, and drive better decision-making with reliable, real-time data.

Railway systems require constant attention and maintenance to ensure passenger safety. With LandingLens, regular inspections (e.g., switch point welding, rail lubrication, and switch cleaning) and emergency repairs can be identified early, preventing potential hazards. By using machine learning in infrastructure monitoring, inspectors can keep railway systems in top condition for years to come!

For property developers and infrastructure managers with thousands of facilities in their portfolios, LandingLens offers an efficient way to have eyes on properties at all times. Powered by AI, the LandingLens platform can monitor multiple facilities around the clock. Image recognition can be trained to recognize footfall, occupancy, damage, intrusion, and identify almost any non-normal pattern. With the LandingLens platform, infrastructure such as power substations, pipework, cables and more can be monitored, secured, and protected rapidly and easily.

Public agencies can make use of real-time object and anomaly detection by training the LandingLens platform to detect specific items and behaviors. For example, LandingLens can be trained to identify anomalies that can cause safety issues. With AI-powered deep learning recognition, LandingLens can highlight safety issues in infrastructure to enable appropriate actions for intervention before situations escalate.

Construction companies can use AI-powered computer vision to automate safety monitoring and reduce the risk of injuries on work sites. For example, LandingLens can recognize when workers are not wearing the correct personal protective equipment, such as an absent helmet, and send supervisor alerts. Not only will improved monitoring reduce the number of unsafe situations, automated safety monitoring enabled by LandingLens also helps reduce the risk of non-compliance with relevant regulatory standards, and lessens the risk of injury.

With LandingLens, image feeds from traffic surveillance cameras can be transformed into valuable data-driven insights into vehicle flow and driver behavior. The LandingLens AI-powered computer vision can capture real-time car count, flow volumes, and more. Similarly, LandingLens can be trained to recognize vehicle types or specific features to enable comprehensive traffic monitoring solutions.
Already have your images in Snowflake? LandingLens is available in the Snowflake Marketplace! This means that LandingLens can directly access the images that you already have stored in Snowflake.
Additionally, you can do it all within the secure, governed boundary of the Data Cloud!
