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Vision Agent
Pest ControlInspections
Pest Evidence Vision Agent
AI detection of pest signs and entry points
Computer vision agent analyzing inspection photos to identify pest evidence, entry points, and conducive conditions.
The Problem
Pest inspections miss subtle evidence like droppings, rub marks, and entry points. Incomplete inspections lead to recurring infestations.
The Solution
- 01Ask any question in plain English
- 02AI searches your actual manuals and history
- 03Get cited answers with source links
How It Works
1
Photo Inspection
Photograph suspected activity areas
2
Evidence Detection
AI identifies droppings, damage, entry points
3
Treatment Map
Prioritized recommendations by area
Capabilities
Evidence Types
Detects droppings, gnaw marks, rub marks
Entry Mapping
Identifies gaps and access routes
ROI Impact
Real results from Pest Control customers
Verified Data
Troubleshooting Time
45 min15 min
-67%
First-Time Fix Rate
68%89%
+31%
Truck Rolls
Tech Satisfaction
Real-World Examples
See how the agent automates field workflows
Equipment Condition Assessment
91% confidenceTriggered by: Photo uploaded from field
Cell tower antenna array with visible corrosion on mounting brackets
Detected Issues
Corrosion on mounting brackethigh
Location: Upper left sectorCable weatherproofing degradedmedium
Location: Junction box areaAuto-Populated Form Fields
Issue TypeCorrosion Damage
SeverityHigh Priority
Equipment IDANT-4521-A
Recommended ActionBracket Replacement