NIRMANA VISIONAI / CAPABILITIES
Pose & Fall Detection
Analyze pose to help detect falls.
FROM CAMERA TO DECISION
From a real need. To a visual workflow.
Pose analysis and fall detection assist visual monitoring. Validate camera placement and activity variations to assess results.
01
CAMERA / INPUT
02
VISION / DETECTION
03
RULE / DECISION
04
ACTION / INTEGRATION
03 / EXPERIENCE VISION AI
Don’t just imagine it. See how it works.
Choose a mission. Run an inspection. See a camera become a decision.
CAM_01 / QUALITY INSPECTIONSIMULATION
X 1240 : Y 0680VISION ENGINE / OUTPUT
READY
MODELQuality Inspection
CONFIDENCE—
INFERENCE—
RULE OUTPUT—
CAPTURING FRAMEPROCESSINGOBJECT DETECTEDRULE EVALUATIONCOMPLETE
Frontend demo. All results, confidence values, and timings are simulated; not performance measurements.
YOUR IMPLEMENTATION
Start with a measurable pilot.
01
Representative samples
Use the product and environmental variations you expect in production.
02
Camera setup
Evaluate resolution, distance, lens, and lighting against the details you need to identify.
03
Acceptance criteria
Define result tolerances, false rejects, and integration needs before moving into production.
CAMERA → VISION → DECISION → ACTION
Your camera can do more.
Build your Vision AI. Connect it to the real world.