Artificial Intelligence
From wildlife detection and tracking to risk assessment and operational response, IRIDA transforms continuous sensor data into actionable intelligence for wind-energy environments.
Detect. Understand. Decide. Act.
At IRIDA, artificial intelligence connects sensing with understanding — and understanding with action.
Optical cameras, thermal sensors, acoustic devices and other monitoring technologies continuously observe the environment. AI processes this information to identify relevant events, follow activity over time, assess conditions and support the appropriate operational response.
The result is not simply more environmental data.
It is environmental intelligence designed for real-world wind-energy operations.
Transform sensor data into meaningful detections.
Track activity, analyse context and assess relevant conditions.
Connect environmental intelligence with alerts, mitigation and operational response.
A continuous AI pipeline transforms environmental observations into information that operators and automated systems can act upon.
Optical, thermal, acoustic and environmental sensors continuously observe the relevant environment.
AI identifies relevant wildlife, objects, activity or environmental events within incoming sensor data.
Detected targets can be followed over time to understand movement, trajectory and behaviour.
Where supported by the application and configuration, AI analyses characteristics of detected targets and events to provide additional environmental context.
Detection, movement, location and configured environmental conditions are evaluated to determine their operational relevance.
Project-specific logic determines whether an alert, continued monitoring or mitigation response is required.
The resulting intelligence can support operator alerts, deterrence, turbine curtailment, environmental reporting or other configured responses.
Not every IRIDA product performs every stage identically — the exact AI pipeline depends on the application, sensors and project configuration.
Edge Intelligence
IRIDA performs critical AI processing close to the sensors and monitored infrastructure.
Edge processing enables sensor data to be analysed locally, allowing relevant detections and operational decisions to be generated without depending entirely on continuous cloud processing.
This architecture is particularly important in wind-energy environments, where systems operate continuously and operational responses may need to be initiated close to the monitored turbine or site.
Analyse relevant sensor data close to the monitored environment.
Convert continuous observations into actionable events as they occur.
Reduce dependence on continuous cloud processing for critical local intelligence.
Synchronise relevant events, system information and operational data with IRIDA's remote platform.
IRIDA applies AI to different environmental challenges while adapting the sensing, models and decision logic to each application.
Bird Protect™
AI analyses visual data to detect and track birds around wind turbines, supporting trajectory analysis, collision-risk assessment and configured mitigation workflows.
Bat Protect™
Thermal and acoustic sensing can be combined with intelligent analysis to identify bat activity, assess relevant conditions and support risk-based mitigation.
Forest Protect™
Visible and thermal surveillance combined with Edge AI enables continuous analysis for potential fire, smoke and abnormal thermal events around wind-energy infrastructure.
Bird Protect™ Agro
AI identifies relevant agricultural machinery and activity around wind turbines and combines detection with configurable geofencing and operational rules.
Environmental Monitoring
AI-assisted monitoring transforms continuous environmental observations into structured information that can support environmental studies, project development and operational monitoring.
Operational AI
Detecting an object is only the beginning.
For environmental technology to support wind-energy operations, detections must be interpreted within the context of location, movement, risk conditions and project-specific requirements.
IRIDA connects AI perception with configurable operational logic so that relevant environmental events can lead to the appropriate response.
Configured turbine responses remain within the applicable turbine/SCADA control architecture — AI does not have unrestricted control of turbine operation.
Detection
“What is happening?”
Tracking & Analysis
“Where is it going and how is the event developing?”
Context
“Where is it relative to the monitored area?”
Risk / Rule Logic
“Does this event meet the configured criteria?”
Response
“Monitor · Alert · Deter · Curtail · Document”
From Intelligence to Action
Shutdown on Demand connects environmental detection and intelligent risk assessment with configured turbine response.
When predefined mitigation conditions are met, IRIDA technology can support the appropriate operational workflow — from continued monitoring or operator notification to automated turbine curtailment.
IRIDA combines Edge AI with centralised remote monitoring to connect fast local processing with long-term operational visibility.
Sensors
Optical · Thermal · Acoustic · Environmental
Edge AI
Detection · Tracking · Analysis · Decision Logic
Operational Response
Alert · Deterrence · Curtailment · Event
MRA Cloud
Monitoring · Events · Reporting · Diagnostics · Data Access
Edge systems process relevant information close to the monitored environment, while the MRA Cloud platform provides centralised visibility, event access, reporting and system supervision.
Environmental AI must operate beyond controlled datasets and laboratory environments.
Wind-energy sites include changing light, weather, terrain and environmental conditions.
Different applications require different combinations of optical, thermal, acoustic and environmental sensing.
Detection and mitigation requirements vary by species, site, permit and operating strategy.
AI is integrated into systems designed for continuous environmental monitoring and operational use.
AI enables automation, but operational workflows remain configurable.
Depending on the application and project requirements, IRIDA systems can support automated responses, operator alerts, human validation or combinations of these approaches.
Operators retain visibility into relevant detections, events and system actions through the applicable monitoring environment.
Configured actions when predefined criteria are met.
AI-supported workflows with operator visibility.
Recorded events and actions for review and reporting.
Environmental monitoring generates valuable operational data over time.
IRIDA uses field experience, validated observations and system data to support the continued development and optimisation of its AI capabilities across different environments and applications.
From Intelligence to Action
IRIDA connects real-time environmental understanding with configured operational workflows — from monitoring and alerts to deterrence and turbine curtailment.
Talk to IRIDA about applying AI-powered environmental intelligence to your wind-energy project.
Discuss your project