Connected Devices and Automation

IoT systems that connect field devices to real-time action

Connect sensors, equipment and remote locations to software teams can use. We build device-to-cloud telemetry, live monitoring, alerts and controlled automation around practical operating conditions.

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Based in Kaduwela, Sri Lanka · Delivery for local and international projects

Connected IoT sensors, edge gateway and cloud telemetry dashboard in an agricultural environment — **Connected solution architecture**Designed around real users, systems and operating conditions

Edge-to-cloudConnected hardware, telemetry and software

Real timeLive visibility and operational alerts

FlexibleMQTT and long-range field connectivity

Solution overview

A complete path from sensor to decision

An IoT solution is more than hardware. It needs reliable device communication, secure data ingestion, clear dashboards, useful alerts and a maintenance plan. We design those layers together so field data reaches the people and systems that need it.

Architecture aligned to your current systems and future roadmap
Responsive experiences for desktop, tablet and mobile workflows
Clear delivery stages, integrations and acceptance criteria

What we deliver

Core iot systems capabilities

A focused delivery scope can combine the capabilities below or start with the highest-priority operational need.

Device and sensor integration

Connect environmental, equipment or process sensors through suitable controllers and field gateways.

ESP32 and Raspberry Pi
Sensor calibration workflows
Edge data collection

Telemetry and device management

Move field data into secure services using communication patterns selected for range, power and connectivity constraints.

MQTT messaging
LoRaWAN-ready architecture
Device health visibility

Monitoring and automation

Turn live readings into dashboards, alerts, historical analysis and controlled equipment actions.

Threshold and trend alerts
Remote monitoring views
Rule-based automation

Where it fits

Practical use cases for iot systems

Examples of the operational problems this solution can be designed to support.

Agriculture and aquaculture

Monitor water, climate, soil or equipment conditions and provide timely alerts for field teams.

Facilities and equipment

Track operating conditions, energy signals and equipment status across buildings or remote assets.

Cold-chain and storage visibility

Capture environmental readings over time and flag conditions that may need immediate attention.

Remote operations dashboards

Bring device health, location status and historical telemetry into one web or mobile control view.

Technology reveal

A modern stack selected around the solution

Technology choices are made around integration needs, data boundaries, operating conditions and the team that will maintain the system—not a one-size-fits-all checklist.

Edge hardware

ESP32Raspberry PiSensor ModulesEdge Gateways

Connectivity

MQTTLoRaWANWi-FiCellular-ready Architectures

Data and services

PythonTime-series DataREST APIsEvent Processing

Experience

Live DashboardsAlertsMobile ViewsHistorical Reports

Delivery approach

From business need to production operation

A staged path keeps the important decisions visible and gives teams review points throughout delivery.

01
Discovery and technical review
We map the business goal, current systems, available data, users, risks and practical constraints before recommending an approach.
02
Architecture and delivery plan
The solution is broken into clear modules, integrations, milestones and acceptance criteria so the delivery path stays visible.
03
Build, integrate and validate
We develop in reviewable stages, connect the required systems and validate the important workflows, security controls and edge cases.
04
Launch and continuous improvement
After release, we support production use, monitor the system and improve it using real operational feedback.

Delivered work

Related projects from the Keen Systems portfolio

Published work that demonstrates relevant technology or workflow experience.

Smart Aquaculture Monitoring System for Aquaculture Innovation Lab — Aquaculture Innovation LabSmart Aquaculture Monitoring System
IoT and AI monitoring for koi fish farms, including water quality, automated feeding, health detection and dashboards.
ESP32Raspberry PiPythonMQTT

Answer-ready guidance

Frequently asked questions about iot systems

Clear answers to the questions teams commonly ask before scoping a project.

Can you integrate with hardware we already own?

Often, yes. We first review the controller, sensor interfaces, documentation and communication options. Hardware that exposes standard protocols or accessible interfaces is generally easier to integrate safely.

Should an IoT system use MQTT or LoRaWAN?

MQTT is an application messaging protocol commonly used between connected devices and services. LoRaWAN addresses long-range, low-power field connectivity. They can be used together; the right design depends on distance, power, bandwidth and site connectivity.

What happens when internet connectivity is interrupted?

Where the use case requires it, the edge device can buffer readings, continue local rules and synchronise when connectivity returns. The exact offline behaviour is defined during architecture planning.

Can IoT data appear in our ERP or business dashboard?

Yes. Device data can be exposed through APIs or event services and incorporated into operational dashboards, alerts or business workflows.

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