Map the site
Check stream access, camera placement and coverage. Define boxes, work zones and blind spots.
MAXIP / EXPLORE
Camera workflows & integration
Explore the detailed workflow, deployment choices and additional operating scenarios.
Talk about your projectEXPLORE THE OUTCOMES
One routine. Different outcomes.
See what changes—and why.
Choose an industry and scenario. Compare normal activity, a review-worthy exception and a loss of camera visibility.
8 scenarios · illustrative outcomes
Stables
As plannedWas the feeding round observed?
Compare an on-time feeding visit with a round that needs checking.
ILLUSTRATIVE WORKFLOW FILM
Four chapters · generated scenes where available + animated explanations. No live inference. Watch original scene ↗
Expected routine
Example routine: grooms bring hay at 08:00 to a barn with five boxes on either side. Alert timing and any grace period are configured for the site.
STEP 01 / OBSERVATION
A horse is visible at the feeder and a staff member passes nearby. The feed placement is obscured in this illustrative clip.
Custom pilot requiring labelled site examples. Video alone does not establish feed quantity, nutrition, animal health or a named person’s identity.
WATCH THE WORKFLOW
From a moment on camera.
To a decision that matters.
Press play, or choose a chapter. Follow one routine through the four layers of Field Intelligence.
FIELD INTELLIGENCEILLUSTRATIVE WALKTHROUGH
STABLES DEMO
Observation zone
Context + routine + evidence01
01 / CAMERA INPUT
Observe
An existing, compatible camera provides the view. The workflow starts with a defined observation zone and a scheduled routine.
Camera 04 · Box 04
Feeding window · 06:00
Coverage must be checked
00 / 24s
Illustrative walkthrough. Watch the film for generated scene footage and animated explanation chapters.
Field IntelligenceStable operations
INTERACTIVE DEMOBox 04
AI-generated scene · scripted events · no live connection
06:15
05:4506:00 · Due06:30
WHAT NEEDS YOUR ATTENTIONNeeds review
Feeding not observed in Box 04
At 06:15, no feeding activity has been observed during the scheduled window.
Evidence available
Continuous example coverage, 06:00–06:15. No matching event.
Your team stays in control
Ask the stable team to confirm the feed and check the observation.
Proposed on-site processingScheduled checks · Evidence · Human review
FOUR LAYERS. ONE USEFUL OUTCOME.
A report you can act on.
With evidence behind it.
Computer vision observes. Rules check the routine. A local agent explains the result. People decide what happens next.
Check compatible camera streams, coverage and lighting before the pilot.
THE LOCAL COMPUTING FOUNDATION
AngelToken.DIY
Intelligence, close to your data.
A vendor-documented on-device computing platform for text, vision and speech workloads. Field Intelligence adds the operational workflow; performance and camera capacity need pilot validation.
TEACH IT HOW YOUR BUSINESS WORKS
The intelligence starts
with your context.
Define the routine
Provide schedules, procedures, grace periods and the people responsible for follow-up.
Calibrate with evidence
Review labelled examples with your team. Tune rules and detection; fine-tune or distil models where the task requires it.
Connect the workflow
Configure recipients, report channels and escalation rules. Review alert usefulness before expanding.
ONE APPROACH. DIFFERENT OPERATIONS.
Start where visibility
makes a difference.
Equestrian facilities
Feeding windows, staff rounds and camera availability.
Retail operations
Opening routines, queue conditions and service-area activity.
Warehouses & facilities
Zone occupancy, scheduled inspections and loading-area activity.
CLEAR LIMITS. BETTER DECISIONS.
An observation is a reason to check.
Every deployment needs site-specific validation. Vision alone does not establish feed quantity, animal health or a named employee’s identity. A missing camera signal means activity cannot be assessed. Email and WhatsApp reporting require connectivity and a configured delivery service; local inference does not make external delivery offline.