Local detection + classification
Bring every observation into focus.
MegaDetector highlights likely subjects. SpeciesNet writes species labels for you to review, with machine labels kept distinguishable from human decisions.
A clearer view of your fieldwork
Mark what
matters.
Your fieldwork deserves more than folders.
Turn camera-trap photographs into structured observations. Detect, classify and review on your own computer, then carry the results into the next stage of your research.
A focused desktop workspaceEnglish + Arabic
Your computer
Local AIYour photographs stay with you.
01Detect02Review03Export
AI on your deviceDetection and classification run locally.
Originals untouchedLabels live separately from your photographs.
Room for your judgmentReview, correct and flag what needs another look.
From the field to the findings
The hard part should be deciding what you see.
A connected workflow for the work between collecting a camera card and handing over a useful dataset.
Sites & cameras
Field survey
Site oneA
EXAMPLE-001
Site twoB
EXAMPLE-002
Files organized within one project.
Survey batch
Every image, in context.
Connect images to their sites and cameras before review begins.
Illustrative imageEXAMPLE-001Arabian oryx
- Site
- Site one
- Camera
- A
Two illustrative records
EXAMPLE-001Illustrative record
AI labelOryx leucoryx
Researcher decision
AI suggests. You decide.
Arabian oryxOryx leucoryx
- Label source
- AI label
- AI model
- SpeciesNet
- Review
- Awaiting review
Illustrative CSV
The result. And its source.
Confirming a label records a human decision. The AI model stays as context.
| Species | labelSource | aiModel |
|---|---|---|
| Arabian oryxOryx leucoryx | ai | SpeciesNet |
| Arabian sand gazelleGazella marica | human | — |
Example data only. Confirming the label updates the file.
Download example.CSVInteractive example · no files uploadedStage01 / 03
Close to the evidence
Your photographs. Your judgment.
AI can direct your attention. A good workspace keeps the original image, the uncertain sighting and the decision within reach.
A focused review rhythm
One key for a species. One to move on.
Keep your attention on the image with keyboard labelling, counts and review flags. Set uncertain sightings aside without pretending they are resolved.
From review to handover
Finish with evidence you can use.
Carry observations into CSV and JSON files, or a Camtrap DP package. Give the next stage of your research a structured starting point.
Know the source
A result is stronger with its context.
Full CSV and JSON exports distinguish machine labels from human decisions. See where AI contributed, and carry that context into the next review.
CSV / JSON / Camtrap DPIllustrative Full export
- species
- Arabian oryx
- labelSource
- ai
- aiModel
- SpeciesNet
Example fields from a Full export. Machine labels remain identifiable before human review.
Watch the work come together
A closer look. Coming into view.
A place for the real Wasim workflow, from the first photograph to the final export.
WASIM / WORKSPACEProduct walkthrough coming soon
Detect · Review · Export16:9
Product walkthrough coming soon
Before your next camera card
The details that matter.
Where do my photographs go?
Wasim does not upload your photographs or change the originals. Project records, including labels, relative paths and deployment coordinates, may upload under your account or team settings. Account and licence services use the network.
Can I work without an internet connection?
Yes, for up to five elapsed days after the last successful online licence check. That includes time with the computer switched off. You will need to reconnect after that window; initial sign-in and cloud actions also need internet.
Can unreviewed AI labels appear in an export?
Yes. Smart classification writes machine labels, which can appear in results and exports before human review. Full CSV and JSON distinguish AI and human labels through labelSource, with aiModel where available. Simple CSV has no structured label-origin column.
Can I correct the AI or record something it missed?
Yes. Review the proposed species, choose a label or remove an AI label. You can draw a box around an animal the detector missed and record it yourself. Flag uncertain photographs to return to them later.
Can I use my results in other research tools?
Export sightings as CSV, detailed records as Full CSV and JSON, or a Camtrap DP package. Check the format against your recipient’s requirements. Interactive dashboards shared through Cloudflare links are planned as the next way to present your results.
How do I get Wasim?
Sign in to your Viora account and open Payments to choose a plan. Once your licence is active, download the desktop application from your account.
Make room for the research
Your next camera card.
A clearer way through.
Tell us about your cameras, your team and the work ahead. We’ll help you see where Wasim fits.