Monitoring for Operational Wind Farms

Missing critical activity leads regulators into conservative assumptions. Capture complete flight data and reduce unnessesary curtailment.

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A bird being tracked beside wind turbines

Trusted by industry leaders

BTO
BTO
BTO
BTO
Bird in the sky

Data uncertainty leads to conservative collision risk models

Assumptions
Conservative CRM
Excess Mitigation
Lost Revenue

Conservative assumptions lead to reduced turbine number and over-curtailment to account for uncertain activity

Spoor Turns Data into Operational Insights

Spoor's continuous camera-based monitoring fills the gaps traditional surveys leave — helping developers minimise curtailment and maximise energy yield.

1

Monitor

Continuous detection and tracking of bird and bat activity across the selected area — day and night, in all weather conditions.

Black Kite
Black Kite
2

Validate

AI-assisted and expert-validated species identification for species-specific collision risk modeling, and permit compliance.

3

Put bird activity in context


Link flight patterns, height and frequency to wind speed, turbine speed, weather, seasons, and time of day for smarter decision-making.

4

Deliver outputs
and data reports

Export structured datasets via the Sky Intelligence Platform — ready for use by environmental consultancies and regulators.

Precision
Energy yield
Curtailments
Day 1Month 6Year 1Year 2+
5

Improve over time

Use longitudinal data to minimise curtailment, reduce buffer zones, and confidently maximise energy yield.

Richer data leads to maximised production potential

Example: Traditional surveys in the UK

72hours/year per vantage point
  • Daylight & weather dependent
  • Activity outside monitoring hours and nocturnal activity remains unmonitored
  • Visual height estimates introduce error margins that overstate risk

Spoor

4,380hours/year
  • Operates in all weather conditions
  • Monitoring from dusk till dawn — night time monitoring available
  • Consistent automated species-level detection
  • Site-specific rotor-zone data with precise flight height
  • Structured data available in Sky Intelligence Platform ready to be used for collision risk modelling
60x more monitoring hours

Turbine Interaction Monitoring

Monitoring of bird behaviour within the turbine collision risk zone — producing the data needed for collision risk assessment, avoidance behaviour analysis, and curtailment design.

  • Automated event classification — classify bird activity as non-interaction, interaction, or potential collision
  • 3D flight trajectory reconstruction — stereo-vision cameras triangulate precise bird positions relative to the rotor swept area
  • Species-specific interaction rates — avoidance distances and interaction counts broken down by species
  • Third-party-validated accuracy — BTO independently confirmed high-accuracy 3D trajectories within 500m of the monitored turbine
Birds around turbines
UI frame

Reduce Risks Across the Entire Wind Farm Lifecycle

Pre-constructionOperational wind farms OnshoreOffshore

Challenge

Due to limited survey data, buffer zones tend to remove significant developable land. With regulators relying on as little as 70–80 survey hours per year, buffers are routinely oversized — reducing turbine count and undermining energy yield.

Solution

Continuous bird and bat monitoring delivering 4,000+ daytime hours (8,000+ including bats), with AI-driven species identification, 3D flight path mapping, and actual collision risk assessment.

Outcomes

  • Unlock restricted land and add turbines safely
  • Reduce or eliminate oversized buffer zones
  • Improve layout flexibility, minimise curtailment, and increase annual energy production
  • Accelerate permitting with transparent, regulator-ready data available via Sky Intelligence Platform
Wind turbine closeup
UI frame

Spoor Sky Intelligence Platform

Monitoring, AI detection, human validation, and contextual modelling are unified in a single platform — supporting decisions across the full wind farm lifecycle.

  • Continuous monitoring and species detection with human validation
  • Analytical support via correlation with weather, radar and historical bird activity data
  • Report-ready tables and figures for EIA submissions or repowering
  • Easy data exports for consultants and regulators
Birds around turbines
UI frame

Embedded in the Wind Energy Ecosystem

Spoor is building a global ecosystem of trusted partners to enable wind farm developers to maximise their potential

Environmental consultancies

Spoor works alongside environmental consultancies to strengthen EIA services with richer, more defensible bird data — helping you deliver faster, more accurate reporting for your clients.

  • Continuous, validated data ready to analyse — species ID, flight heights, flux rates, flight tracks, and more
  • Reduce conservatism in collision risk models — use Spoor data to challenge overly cautious assumptions and refine CRM inputs
  • Regulator-ready outputs — 96% precision, 100% recall, and full-resolution timestamped video for every detection event via Sky Intelligence Platform
  • A clear division of responsibilities — Spoor processes and delivers the data; you analyse, interpret, and report

Proven in Live Wind Projects

Spoor's technology is already deployed in real-world wind energy environments, delivering continuous wildlife monitoring at scale.

  • Advanced AI and computer vision is trained on 1M+ birds
  • Bird detections at 1,5 km distance
  • Bird and bat detections with ≥ 95% accuracy
  • Proofed in low light, night and bad conditions
  • Deployment onshore and offshore on 4 continents

Reduce the Biodiversity Risks with Spoor

Talk to one of our experts and discover the best solution based on your needs