Key Benefits
- Detect visual anomalies invisible to standard motion detection
- Build environmental baselines from prolonged observation
- Distinguish between routine events and genuine anomalies using visual parameter deviation
- Extract and quantify 'subconscious' image layers that matter to human perception
16-Agent Analysis Pipeline
Step-by-Step Workflow
1
Establish Baseline
Run frames from your camera over 24-48 hours through Grain to build a visual parameter baseline — typical lighting, color temperatures, atmospheric conditions, depth patterns.
2
Monitor Deviations
Compare new frames against the baseline. Flag when visual parameters deviate beyond threshold — a new person, unusual lighting, unexpected objects.
3
Classify Events
Use pattern matching to categorize events: 'UPS delivery at 2:14 PM' vs 'unknown individual surveying porch for 5 minutes'.
4
Alert & Log
Generate human-readable summaries of visual events without requiring video review.
5
Refine
Improve classification accuracy as the system learns your environment's visual rhythms.