Computer vision identifies objects.
MetricsAI gives them physical meaning.
MetricsAI connects recognized objects to verified real-world measurements such as length, width, height, weight, and full 3D geometry—structured shapes that computer systems can reason with directly. Existing vision systems use this data layer to improve depth estimation, scale awareness, clearance analysis, spatial reasoning, and safety decisions.
The metrics data layer. Nothing else.
MetricsAI is infrastructure that plugs into vision systems you already have.
What we don't build
- × Cameras or camera hardware
- × Autonomous vehicles
- × General object detection models
What we provide
- ✓ A structured library of verified physical object measurements
- ✓ An API that links recognized objects to real-world metrics
- ✓ 3D geometric shapes that computer systems can reason with directly
- ✓ The data layer that makes existing computer vision systems physically aware
Detection tells you what. It doesn't tell you how big, how far, or how safe.
Vision systems lack physical grounding.
A detection model can label a car, a pole, or a curb—but it doesn't know the object's true dimensions, weight, or 3D shape. Without a geometric representation to reason with, depth estimates drift, scale is ambiguous, and clearance or collision decisions rely on guesswork.
Verified metrics, resolved by identity.
MetricsAI maps each recognized object to verified real-world measurements—length, width, height, weight, and full 3D geometry. Beyond a single number, each object is represented as a reasoned 3D shape—anchoring depth estimation, calibrating scale, and giving spatial reasoning a factual base for safety decisions.
Three steps to physical awareness.
Identify the object
Your existing vision system detects and classifies an object—a vehicle make and model, a sign, a curb, a pole.
Retrieve verified metrics
The MetricsAI API resolves that identity to structured, verified measurements: dimensions, weight, and a full 3D geometric shape ready for reasoning.
Improve spatial understanding
Known measurements sharpen depth estimation, scale awareness, clearance analysis, and downstream safety decisions.
{
"object_type": "vehicle",
"make": "Toyota",
"model": "Camry",
"year": 2024,
"length_mm": 4920,
"width_mm": 1840,
"height_mm": 1445,
"curb_weight_kg": 1585,
"geometry_3d": "mesh_ref://camry_2024.glb",
"bounding_box_mm": [4920, 1840, 1445],
"source_confidence": 0.98
}
Built for systems that operate in the physical world.
Fleet Cameras
Robotics
Autonomous Systems
Mapping
Smart Infrastructure
A scalable physical intelligence layer for the real world.
MetricsAI is building toward a continuously expanding platform of verified physical object data—serving every system that needs to understand the world, not just see it.
Make your vision system physically aware.
Get in touch
Email us at team@aimetricsolutions.com