Receive alerts and notifications on all critical operations for your equipment. IoTFlows Stream Analytics Engines analyzes each sensor in the sensors networks and identifies
critical health issues in real-time. Allowing users to stay up-to-date with all their processes and equipment.
Reduce costs, time, and improve operations through secure remote connection, control and fleet deployment. IoTFlows Encrypted Device Management allows users to deploy code
to a fleet of devices instantly, its encrypted remote access allows users to access any device from anywhere in the world securely, and it's encrypted APIs allows for secure control to any process.
Aggregate data from sensors, devices, operational systems, and enterprise systems to generate predictions on asset failures. IoTFlows Predictive Maintenance
provides operators, engineers, and planners detailed insights into possible failures and how it affects overall operations, enabling them to optimize their assets
and reduce maintenance costs.
Aggregate data from sensors about the condition of traffic and pedestrians and optimize street lighting to save up to 80% on energy costs.
Track parking vacancy in real-time based on sensor data and guide users on optimal available parking space.
Collect data and run machine learning models to optimize for densely trafficked areas.
Monitor and manage noise levels throughout the city in real-time.
Alert pedestrians of potentially harmful noise levels and warn companies that violate limits to manage noise levels.
Identify changes in material condition, recommend inspection targets, and predict structural damage with recommended interventions for assets at risk.
Prepare action plans for structures such as bridges, buildings, stadiums, airplanes, ships, etc.
Optimize waste collections and fleet schedules by collecting data on fill levels from garbage containers and implementing machine learning models to predict fill levels and schedule fleets for pickup.
Monitor and identify potential risks in water health and management for cities by collecting sensor data from multiple sources into one stream and determine temperature changes,
water leakage, chemical leakage, pressure levels, and water quality. Set up control mechanisms for smart irrigation based on weather and soil moisture for an optimal amount of water.
Optimize public energy grids by balancing workloads, predict energy surges, and distribute energy more equitably to consumers.
Adapt to traffic conditions in real-time based on the density of traffic. Communicate with first responders and control lights to synchronize and provide direct access to critical locations.
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