AI models process single images or stereo camera pairs to predict depth values. The system analyzes visual cues like object size, shadows, and perspective. It outputs a depth map where each pixel contains distance measurements from the camera to that point in the scene.
Depth Estimation
Depth estimation analyzes images to calculate how far each pixel is from the camera. This AI technology creates depth maps that show distance information for every point in a scene.
How Depth Estimation Works
Use Cases
Manufacturing
Quality control systems measure part dimensions and detect assembly defects using automated depth analysis.
Healthcare
Medical imaging systems create 3D reconstructions from surgical cameras to guide minimally invasive procedures.
Retail
Inventory management robots navigate store aisles and identify shelf gaps using depth perception technology.
Transportation
Autonomous vehicles detect obstacles and calculate safe following distances using real-time depth estimation from cameras.
Construction
Site monitoring drones measure excavation depths and track building progress using aerial depth mapping.
Agriculture
Harvest robots determine fruit ripeness and navigate around plants using depth sensors and computer vision.
Explore All Depth Estimation Use Cases
Browse the full library of real-world depth estimation applications.