Computer vision for Robotics

A revolution in how robots see the world.

Lightweight, low power and easy‑to‑use depth cameras that give robots the ability to navigate landscapes, avoid obstacles and recognize objects, people and more.

Computer vision in Robotics

The world of computer vision in robotics comes into focus.

When robots can see, measure, analyze, and respond to their environment, a whole new world of possibilities opens up. To bring these possibilities to life, the robotics industry is increasingly adopting computer vision technology which allows robots to sense depth, navigate landscapes, and recognize objects, people, and scenes. In the last several years alone, the demand for computer vision technology that is reliable and performs across a variety of conditions has grown rapidly.

Wide variety of use cases.

The high-resolution imaging and depth sensing technology of the Intel RealSense cameras allow them to deliver a full range of computer vision capabilities specifically targeted for robotics developers. For high‑precision applications, choose the L515 or D415. If your application is fast‑moving or outdoors, select either the D435 or D435i, and for longer range applications, the D455 is perfect.

Collision Avoidance

Collision Avoidance
Collision avoidance

High frame rate and depth accuracy provides the data needed, when it’s needed, to avoid obstructions. The computer vision solution of choice for robot cleaners and other automated industrial use cases that require collision avoidance. Pick and place robots are able to extract objects from bins without the object hitting the sides of the bin. Automated inventory robots navigate store aisles and avoid running into aisles, carts, or customers.

Object Detection

Object Detection
Object Detection

Distinguishes foreground objects from background and provides the ability to measure and understand shapes. Factory robots use high resolution imagery to distinguish between a variety of objects. Pick and place robots distinguish between a variety of objects in a bin and adjust picking pressures based on the object’s identity. Greeting robots in the retail space use object detection capability to identify and track objects and interact with consumers.

Volumetric Measurement

Volumetric measurement
Volumetric Measurement

Measures objects in all three dimensions simultaneously and accurately with low measurement error. Factory robots use volumetric data to improve efficiency in packaging, placement, and storage applications. Robots in shipping facilities can determine the volume of boxes and of empty storage slots and manage inventory more efficiently. Retail robots measure empty shelf space for inventory restocking.

SLAM Tracking

SLAM Tracking
SLAM Tracking

Low latency, low power, high quality localization and mapping allows robots to quickly calibrate location. Industrial delivery robots use tracking capability for path planning that enables them to move more efficiently through space. Warehouse delivery robots navigate delivery routes and keep track of their location. Inventory robots utilize mapping technology to navigate store aisles and keep track of their location.

Customer Stories


Revolution in Autonomous Mobile Robotics

Aethon’s TUG series of delivery robots, guided by Intel RealSense cameras, provide reliable, durable, and affordable small form factor units that meet the changing needs of the hospitality, manufacturing, and healthcare industries.

RightHand Robotics

Revolutionize Automated Warehouse Order Fulfillment

RightPick is an automated piece-picking solution that revolutionizes e-commerce order fulfillment. RightPick2 robots use Intel RealSense cameras, to quickly identify items to be able to automatically handle them at high speeds with high reliability.


Autonomous Navigation and Obstacle Avoidance

Robots powered by BrainOS and using Intel RealSense technology navigate autonomously, avoid obstacles, and quickly adapt to changing environments, safely and efficiently cleaning commercial environments. 


Autonomous Helper Robots as a Reality

Piaggio’s Gita Cargobot is a spherical robot that is designed to follow people on the go, carrying their personal belongings. Intel RealSense technology provides data to help the robot track its owner, keeping groceries, gym equipment, or kids' toys close.

Double Robotics

Paradigm Shift in Remote Learning and Video Conferencing

Double 3 is a self-driving, two-wheeled videoconferencing robot that telecommuters, doctors, remote workers, and students with a physical presence where they can’t be in person. Intel RealSense cameras enable the Double 3 to safely navigate its environment.

A Robust Lineup.

The Intel RealSense family of cameras is the broadest product line of computer vision cameras on the market, with a range of indoor and outdoor options that meet all the needs of today’s robotics engineers.

Intel RealSense LiDAR Camera L515
Depth FOV 70° × 55°
Range .25 m to 9 m
Rolling Shutter RGB
Intel RealSense Depth Camera D455
Depth FOV 86° × 57°
Range .4 m to 20 m
Global Shutter RGB and Depth
Intel RealSense Depth Camera D435i
Depth FOV 85° x 58°
Range .11 m to 10 m
Global Shutter
Intel RealSense Depth Camera D435
Depth FOV 85° x 58°
Range .11 m to 10 m
Global Shutter
Intel RealSense Depth Camera D415
Depth FOV 65° x 40°
Range .16 m to 10 m
Rolling Shutter

Start developing with Intel RealSense SDK 2.0.

Our open‑source SDK 2.0 offers a variety of wrappers supporting popular programming languages and platforms.

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