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CoveScreen · Service

IoT

Connected devices and systems that work together.

Connected sensors and devices that collect, transmit and act on real-world data.

Under the hood

A real-time view of how this is engineered, run and kept honest in production.

Implementation stack

  • Microcontrollers and edge gateways for local sensing and control

  • MQTT / CoAP for lightweight, guaranteed messaging

  • Edge runtime for local processing and offline buffering

  • OTA firmware platform for signed fleet updates

  • Time-series database for telemetry ingestion and retention

  • Alerting rules tied to threshold and drift detection

  • Device identity and certificate lifecycle management

Live handling loop

  1. Sense

    Sensors sample physical conditions at the configured rate.

  2. Process at edge

    Gateway filters, aggregates and acts locally to cut latency.

  3. Publish

    Telemetry is published over MQTT/CoAP with defined quality of service.

  4. Ingest

    Messages land in the time-series store for history and analytics.

  5. Act

    Rules fire alerts or control commands back to the fleet.

  6. Update

    Signed OTA firmware rolls out to the fleet with staged verification.

Production integrity

  • Offline-first devices buffer locally and reconcile on reconnect.

  • Per-device certificates so identities cannot be spoofed at the broker.

  • Signed firmware + staged OTA to contain bad updates to a canary set.

  • Watchdog and heartbeat telemetry to surface silent devices early.

Real-world use

A representative deployment of this service in practice.

Who it was built for

A cold-storage operator losing product to undetected temperature drift (anonymised).

The problem

Loggers were checked manually once a shift; a failing cooler could go unnoticed for hours, risking perishable stock, while any carry that blocked a logger created a blank reading that nobody saw.

The deployment

CoveScreen deployed battery-powered sensor gateways at each cold chamber, configured edge thresholds that raised instant alarms, and connected telemetry to a central dashboard and SMS alerting.

The mechanism

Sensors publish temperature every 60 seconds over MQTT; the edge gateway raises a local alarm within two readings of a breach and, offline, keeps buffering; on reconnect the backlog reconciles so audit history stays complete.

Operational insight

Benchmark targets this is engineered to hold. Stats are framed as targets and SLAs — not fabricated outcomes.

< 250 ms
Edge-to-platform telemetry ingestion latency
99.9%
Message delivery reliability target (QoS 1)
< 5 min
Signed OTA rollout window for the fleet

Discuss your iot needs

Tell us about your goals and we will help you understand the right next step — with no obligation.