Configure a Fake Camera
Configure a camera to use for testing."
Configure a camera to use for testing."
Uses a camera device, a video file, or a stream as a camera.
Configure a camera that gets color or depth images frames from a file path.
Configure a camera that uses velodyne lidar.
Configure a standard camera that streams camera data.
Combine and align the streams of a color and a depth camera.
A camera captures 2D or 3D images and sends them to the computer controlling the machine.
Combine the point clouds from multiple camera sources and project them to be from the point of view of target_frame.
Instructions for transforming a camera.
Configure an ultrasonic model camera.
Calibrate a camera and extract the intrinsic and distortion parameters.
Create an alarm system that can detect people and can recognize faces, allowing it to smartly trigger alarms.
Use the filtered-camera module to selectively capture images.
Use the filter modular component in the Viam app to photograph your pet in their collar.
Create a robot babysitter with a webcam and machine learning.
Create an autonomous drink carrying robot with motion sensing and machine learning.
Make a functional guardian with a servo motor, some LEDs, a camera, and the ML Model and vision service to detect people and pets.
Modernize the Omnibot 2000 from the 1980s with Viam and AI.
Use the vision service and the Python SDK to send yourself a text message when your webcam detects a person.
How to turn a light on when your webcam sees a person.
Harness AI and use ChatGPT to add life to your Viam rover and turn it into a companion robot.
Use the vision service in the Viam app to detect a color with the Viam Rover.
Build a foam dart launcher with a wheeled rover and a Raspberry Pi.
Build a line-following robot that relies on a webcam and color detection.
Configure a rover like the a Yahboom 4WD Rover or a SCUTTLE robot on the Viam platform.