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Scalable bat detection and ecological monitoring

Computer vision technology that scales bat surveys for regulatory compliance, conservation research, and longterm population monitoring — across North America and the UK.

Bat surveys are a regulatory requirement, and traditional methods don't scale

Across Canada, the United States, and the UK, bats and their roosts are protected under federal and provincial/state legislation. Development projects, infrastructure works, and land management activities that may affect bat habitat typically require a licensed bat survey before work can proceed. Manual survey methods are time-intensive, weatherdependent, and difficult to replicate consistently across multiple sites. Sairone's computer vision platform enables scalable, repeatable surveys using fixed surveillance cameras — reducing cost, expanding site coverage, and generating the structured datasets that regulators and researchers need.

Species at Risk Act (SARA)

Species at Risk Act (SARA)

Federal protection for listed bat species. Multiple species now listed as Endangered or Threatened, including the little brown bat and tri-colored bat, following Whitenose Syndrome population collapse

Endangered Species Act (ESA)

Endangered Species Act (ESA)

Federal protection for listed species. The Indiana bat and northern long-eared bat are listed as Endangered; the tricolored bat was proposed for listing in 2022. Section 7 and Section 10 consultations often require bat surveys.

Wildlife & Countryside Act / Habitats Regs

Wildlife & Countryside Act / Habitats Regs

All 18 resident bat species and their roosts are fully protected. Disturbing or destroying a bat roost without a licence is a criminal offence — triggering survey requirements on nearly all building and development projects

White-nose Syndrome has reshaped North American bat conservation

First detected in New York in 2006, White-nose Syndrome (WNS) — caused by the fungal pathogen Pseudogymnoascus destructans — has killed an estimated 5.7 to 6.7 million bats across North America. Several previously common species, including the little brown bat, have declined by more than 90% in affected regions. This has dramatically elevated the conservation and regulatory profile of bat monitoring across Canada and the United States.

Scalable, consistent population monitoring is now a priority for wildlife agencies, conservation organisations, and researchers tracking WNS spread and recovery. The Sairone platform is designed to support this need with deployable, low-cost camera systems that generate comparable data across sites and seasons.

Built for ecological professionals, planners,
and conservation organisations

Built for ecological professionals, planners, and conservation organisations

The platform serves the full spectrum of professionals who rely on bat survey data, from compliance-driven development workflows to long-term population research.

One platform, multiple survey contexts

From pre-construction compliance surveys to multi-year conservation monitoring programmes, the system adapts to the full range of environments where bat data is needed

1

Residential & buildings

Roost detection in homes, lofts, and commercial structures prior to renovation or demolition works.

2

Infrastructure

Bridges, culverts, and structures surveyed for bat use as part of highways, rail, and utilities projects

3

Wind energy

Pre-construction activity surveys and post-construction mortality monitoring for turbine siting and permitting.

4

WNS research

Population monitoring at hibernacula and summer roosts to track WNS-affected colonies over time.

5

Long-term monitoring

Repeatable seasonal datasets for national monitoring programmes and post-development mitigation compliance.

Monitoring species under pressure across three jurisdictions

Species of conservation concern vary by region. The platform is designed to generate the structured activity data needed to support status assessments and recovery planning across North American and UK contexts.

Image Source: Wikipedia https://en.wikipedia.org/wiki/Greater_horseshoe_bat
Greater horseshoe bat

Rhinolophus ferrumequinum — rare UK species; triggers enhanced planning conditions

Little brown bat
Little brown bat

Myotis lucifugus — Endangered (SARA); >90% decline in eastern Canada from WNS

Image Source: Wikipedia https://en.wikipedia.org/wiki/Tricolored_bat#/media/File:Tri-colored_bat_in_torpor.JPG
Tri-colored bat

Perimyotis subflavus — Endangered (SARA); ESA listing proposed (U.S.)

Image Source: Wikipedia https://upload.wikimedia.org/wikipedia/commons/8/8a/Indiana_bats_%286875538307%29.jpg
Indiana bat

Myotis sodalis — Endangered (ESA); triggers Section 7 consultation on U.S. projects

Image Source: Wikipedia https://en.wikipedia.org/wiki/Myotis_septentrionalis#/media/File:Myotis_septentrionalis_1870.jpg
Northern long-eared bat

Myotis septentrionalis — Endangered (ESA & SARA); widespread WNS impact

Image Source: Wikipedia https://en.wikipedia.org/wiki/Big_brown_bat
Big brown bat

Eptesicus fuscus — common, widely monitored; important baseline species across North America

Ready to scale your bat survey capability?

What the system tells you, beyond presence/absence

The platform is designed to generate ecologically meaningful outputs that support regulatory reporting, mitigation planning, and population research — not just a binary "bats present" result.

Roost location mapping

Gaussian voting identifies the most probable roost locations and entry/exit apertures, shown as bounding boxes on the output frame — directly usable for mitigation planning and contractor briefings.

Roost type inference

Flight activity patterns and timing help distinguish maternity roosts, hibernation roosts, and transitory roosts — each carrying different implications for regulatory assessment and mitigation design.

Individual flight path tracking

2D Kalman filter tracking recovers individual flight trajectories and commuting corridors, supporting habitat connectivity assessments and landscape-scale ecological surveys.

Activity intensity & phenology

Bat passes per night, activity window timing, and seasonal trends — standard outputs for survey reports, ESA/SARA consultations, and long-term population monitoring programmes.

Downloadable survey reports

Structured reports including roost maps, motion-based video, activity statistics, and annotated outputs — formatted for submission to planning authorities or regulatory agencies.

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Technical pipline

The algorithm is designed for fixed cameras deployed at night, processing image and video data to extract ecologically meaningful outputs with minimal field hardware requirements.

1

Preprocessing

Frames are denoised to remove insects and small moving objects, with contrast enhancement to reveal faint details in low-light conditions.

Preprocessing
2

Detection

Background subtraction reduces slow lighting changes; frame differencing highlights the fast, small motions characteristic of bat flight.

Detection
3

Tracking

Detected bats are tracked in 2D with a Kalman filter. Overlapping tracks are separated and individual flight paths are recovered across frames.

Tracking
4

Roost estimation

Track start and end points are clustered spatially. A Gaussian voting scheme selects the most probable roost locations, shown with bounding boxes on the output map.

Roost estimation
5

Report generation

Outputs are compiled into a roost candidate map, a tracked-bat video with motion mask, and a downloadable structured report.

Report generation
Sam Watson Ecology

Developed with applied ecological expertise

Field Partner

Sam Watson Ecology

Sam Watson is a full member of the Chartered Institute of Ecology and Environmental Management (CIEEM) with over 20 years of applied ecology experience, including principal consultant roles coordinating large-scale, multi-disciplinary ecological surveys and delivering Environmental Impact Assessments and Habitats Regulations Assessments. Sam Watson Ecology provides the field equipment, camera data collection, and ecological validation underpinning the AI model's training and real-world accuracy. The partnership brings together Saiwa's computer vision expertise with deep applied ecology knowledge grounded in real survey practice.

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