
Connected sensor design, installation, telemetry ingestion, AI vision, geospatial tracking, threshold automations, dashboards, and operational awareness solutions for real-time visibility.
IoT projects include the physical sensor layer and the data platform layer. Evolvement LLC can help identify the right sensors, shape or fit the device to the environment, install collection points, connect telemetry to Azure, define thresholds, create automations, and provide dashboards for operational decision-making.
The screenshots below are packaged locally with this page so they render reliably. They show IoT Hub, telemetry streams, sensor catalog design, AI vision, threshold automations, Azure Maps dashboards, and architecture.

Connected devices, message volume, alerts, route status, telemetry trends, and device health.

Telemetry includes water levels, counts, frequency, bandwidth, color, size, shape, height, latitude/longitude, and AI vision outputs.

Sensor solutions can be purchased, shaped, designed, fit to the facade, installed, monitored, and integrated into dashboards.

AI vision sensors can count objects, detect color, identify shape, measure size, classify activity, and trigger action.

Time, schedules, telemetry thresholds, anomaly detection, and AI events can trigger Logic Apps, Teams, SQL, and dashboards.

Location-aware dashboards show sensor status, alerts, telemetry trends, and geospatial operational awareness.

Sensors, IoT Hub, Stream Analytics, data stores, dashboards, automations, and actions work together.
Water, vision, spectrum, frequency, bandwidth, height, action, environmental, and location sensors.
Device registration, telemetry ingestion, device messages, routes, and security.
Stream Analytics, rules, thresholds, schedules, anomaly checks, and AI vision events.
Azure SQL, Cosmos DB, lakehouse, PostgreSQL, time-series data, and history.
Dashboards, Azure Maps, Logic Apps, Teams alerts, work orders, and approvals.
This pattern turns physical sensor readings into operational intelligence. Devices collect telemetry, Azure ingests and routes the data, thresholds and schedules trigger action, and dashboards show what is happening across assets, locations, and time.