Camera Trap Data Analysis
Accelerate Species Identification and Compliance Reporting with AI-Powered Camera Trap Analysis
Our camera trap data analysis software processes and classifies millions of images with AI-driven accuracy and expert verification. Generate Camtrap DP-aligned datasets, manage projects securely, and produce audit-ready biodiversity reports for TNFD, EUDR, and biodiversity credit frameworks in one central platform.
Trusted by Leading Organisations Around the World
Automated Camera Trap Analysis That Speeds Up Data Processing Without Sacrificing Accuracy
Handle massive volumes of images in record time. Our camera trap data analysis software automates species detection, blank image removal, and metadata management while maintaining full traceability for audit and reporting. Designed for MegaDetector & SpeciesNet compatible workflows, it ensures high throughput and standardised results ready for ecological or compliance use.
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Automatically detect and classify species with precision, filtering non-animal images and flagging uncertain results for review.
Upload, group, and process thousands of camera deployments simultaneously while keeping contextual metadata intact.
Export analysis-ready data aligned with Camtrap DP, CTMS, and open biodiversity data models to simplify integration and reporting.
Combine AI Speed with Expert Validation for Audit-Ready Camera Trap Analysis
Automated analysis alone is not enough for compliance or verification. Every dataset processed through the platform is reviewed by ecological experts to ensure consistency, accuracy, and auditability. Verified observations and species identifications are linked directly to raw media and metadata, creating a transparent chain of evidence for regulators and certifiers.
Ecologists validate species identifications and detection confidence thresholds to guarantee accuracy in sensitive assessments.
Maintain traceability from raw imagery to verified insights through secure, reviewer-accessible dashboards.
Generate defensible evidence with full metadata visibility across deployments, detections, and export outputs.
Centralise Your Project Management and Streamline Camera Trap Workflows
Bring teams, devices, and datasets together in one workspace. The platform supports large-scale, multi-site camera trap programmes with role-based access, data versioning, and built-in collaboration tools. Integrate camera trap data with other biodiversity inputs such as bioacoustics, eDNA, satellite imagery, and field observations to create richer ecological insights.
Manage deployments, detections, and results across multiple teams and locations with centralised permissions and audit logs.
Cross-reference camera trap findings with acoustic, genetic, and geospatial evidence for stronger ecological conclusions.
Operate globally with secure storage, automatic backups, and offline-friendly synchronisation for low-bandwidth environments.
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Turn Camera Trap Outputs into Defensible, Regulator-Ready Evidence
Every verified camera trap detection becomes a trusted line of evidence that supports measurable outcomes. From traceable metadata to reviewer-approved identifications, each dataset upholds the transparency demanded by auditors, verifiers, and investors. Demonstrate ecological impact with confidence through defensible, standardised, and expert-validated results.
Each image and observation is stored with deployment, timestamp, and verification history to maintain a complete audit trail.
Provide verifiable proof of species presence and activity for biodiversity credit certification and third-party audits.
Enable external reviewers to access validated camera trap evidence through secure, read-only dashboards that strengthen credibility and trust.
From Raw Camera Trap Data to Verified Results in Four Simple Steps
Our platform streamlines every stage of camera trap analysis, from upload to expert-approved outputs. Designed for scale, accuracy, and transparency, it enables teams to turn raw images into reliable, validated results faster than ever. Ready to see it in action?
1.
Upload & Centralise Camera Trap Data
Import images and videos directly from field devices or existing archives. The platform automatically captures deployment metadata, timestamps, and site details, creating a unified dataset ready for analysis.
2.
Automated AI Processing
AI models detect species, filter blanks, and group sequences automatically. Compatible with MegaDetector and SpeciesNet-based workflows, this step dramatically reduces manual sorting and processing time.
3.
Expert Verification & Quality Review
Ecologists review flagged detections, validate uncertain classifications, and approve verified observations. This human-in-the-loop step ensures every output meets scientific and audit standards.
4.
Visualise, Export & Share Evidence
View results through interactive dashboards that link detections to verified imagery and metadata. Export Camtrap DP-aligned datasets or share secure, read-only access with auditors and project partners for transparent verification.
Camera Trap Analysis Solutions for Every Sector
Different sectors face unique challenges in monitoring wildlife and tracking ecological change. Our camera trap analysis software supports organisations across research, conservation, and industry, helping every team capture reliable data, verify results, and demonstrate measurable outcomes with confidence.
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Our Nature Monitoring Solutions Drive Compliance And Conservation At Scale
From tropical forests to private estates, our platform is used worldwide to deliver measurable results. Explore our case studies on the interactive map to see how organisations are turning nature data into compliance, conservation and restoration outcomes.
National EUDR compliance in Benin & Togo
EUDR compliance for 50,000 soya farms across Togo and Benin
Carbon & Biodiversity Gap Analysis for Gemstone Mining
FURA is a global gemstone mining company operating in Australia, Colombia, and Mozambique.
Biodiversity Credits and Data Validation for ERA Brazil
Camera trap videos of individually identified jaguars can support biodiversity credit projects
Scalable Camera Trap Data Analytics
Scalable AI species identification in the Republic of Congo
Biodiversity Baseline for a Scottish Estate
Scaling the use of bioacoustics, eDNA and camera traps for biodiversity monitoring in Scotland
Peer-reviewed studies validating our methods and demonstrating scientific credibility.
Projects delivered across Africa, Asia, Europe and the Americas with measurable outcomes.
Agricultural sites assessed for deforestation risks and sustainability reporting under EUDR.
Client Feedback
Organisations across the world use Okala to simplify biodiversity monitoring, accelerate compliance reporting, and deliver measurable ecological impact. Here’s what they say about working with us.
We greatly appreciated Okala’s ability to adapt to the specific demands of the mining industry. Their flexibility and responsiveness enabled the timely delivery of key project components. The dashboard training session was very well received by our client, and the platform itself has proven to be an effective tool for visualizing the results of camera-trap monitoring. We look forward to continuing and expanding our collaboration with Okala.
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This was an ambitious project where we could put AI to the test at very large scales. Okala's data platform allowed us to verify AI outputs and rapidly interact with the data using the intuitive interface.
Okala's expert gap analysis and guidance have greatly advanced Fura’s progress towards reaching our sustainability goals. Their professionalism and insight into biodiversity and carbon management exceeded our expectations.
Okala delivered cutting edge biodiversity, carbon and social baselines to understand how a 300,000 ha forestry concession in Gabon could be managed for sustainable development.
The full service - from fieldwork to reporting - was excellent. We look forward to working with Okala again.
Minimising biodiversity impact is an increasing challenge for our sector. Okala provided unrivalled transparency and reporting for our early-stage industrial project in Rwanda.
Okala delivered high-quality biodiversity baselines in just six months using eDNA, bioacoustics and camera traps. Their work will allow us to calculate the biodiversity value of the forest to inform land-management.
Camera Trap Data Analysis FAQs
Still have questions about how our camera trap analysis software works? Explore common questions below to learn how it helps organisations process images faster, verify results with confidence, and manage large-scale projects efficiently.
Book A Demo Today To See Our Camera Trap Data Analysis Software in Action
Turn your camera trap data into reliable, verified results. Our AI-powered camera trap data analysis platform helps organisations process images faster, ensure accuracy, and deliver defensible outcomes at scale.
