RDK X5 Stereo AI Vision Camera Module (178° FOV, Dual 2MP)

The RDK X5 Stereo AI Vision Camera Module is a wide-angle dual-camera vision solution designed for AI robotics, autonomous systems, embedded vision, depth perception, and machine-vision applications. Featuring two 2 MP cameras and an ultra-wide 178° field of view (FOV), the module enables a system to capture a broad visual area while using stereo imaging to obtain spatial information about the surrounding environment.

Designed for use with RDK-based AI development platforms, the stereo camera is suitable for developers, researchers, universities, robotics laboratories, and engineering teams working on intelligent perception systems.

Key Features

• Dual 2 MP Cameras
  Two image sensors provide synchronized stereo visual information, enabling the system to observe the same scene from two slightly different viewpoints.
• 178° Ultra-Wide Field of View
  The wide viewing angle allows the camera to capture a significantly larger area than conventional narrow-FOV cameras, making it particularly useful for mobile robots and navigation systems.
• Stereo Vision Capability
  Using images from the two cameras, stereo-vision algorithms can estimate differences between corresponding image points and generate information about the relative distance of objects.
• Depth Perception
  The dual-camera configuration can be used for depth estimation and distance measurement, allowing intelligent systems to understand the three-dimensional structure of their surroundings.
• AI Vision Ready
  The camera can provide visual input for AI-based applications such as object detection, object recognition, tracking, classification, obstacle detection, and scene understanding.
• Wide-Area Environmental Awareness
  Its 178° viewing angle makes it particularly useful where the system needs maximum visual coverage while minimizing blind areas.
• Compact Stereo Camera Design
  Both cameras are integrated into a single compact assembly, simplifying installation in robots, autonomous platforms, experimental systems, and embedded AI projects.
• Flexible Integration
  The supplied ribbon-cable interfaces make the module suitable for integration with compatible development boards and embedded vision platforms.

Stereo Vision and Depth Detection

Unlike a conventional single-camera system, the RDK X5 stereo camera uses two spatially separated cameras to observe the environment. Because each camera sees an object from a slightly different position, the difference between corresponding points in the two images—known as disparity—can be processed to estimate depth.

This capability enables applications such as:

• Distance estimation
• Obstacle detection
• 3D environmental perception
• Robot navigation
• Spatial mapping
• Object positioning
• Collision avoidance
• Autonomous movement

The combination of stereo imaging and AI processing makes the module suitable for systems that need not only to see objects, but also to understand where those objects are located in space.

Typical Applications

The RDK X5 Stereo AI Vision Camera Module is suitable for a wide variety of research, educational, and industrial development projects, including:

• Autonomous mobile robots
• AI-powered robotic platforms
• Obstacle avoidance systems
• Indoor navigation
• Computer vision research
• Object detection and tracking
• 3D perception
• Depth estimation
• SLAM and mapping research
• Smart surveillance prototypes
• Human and gesture detection
• Embedded AI development
• Machine-vision experiments
• University and research laboratory projects

Ideal for Robotics and AI Development

For robotics applications, visual perception is essential for determining what is present around the robot and how far surrounding objects are located. The RDK X5 Stereo AI Vision Camera provides a practical sensing platform for combining computer vision, artificial intelligence, and spatial perception.

Its wide-angle stereo architecture is particularly useful for mobile robots that require a large observation area for detecting obstacles, monitoring their surroundings, and performing intelligent navigation.

Suitable for Education and Research

The module is also well suited for universities, engineering laboratories, AI research groups, and student development projects. It can be incorporated into experimental systems for studying topics such as:

• Artificial intelligence
• Computer vision
• Stereo-image processing
• Depth-map generation
• Autonomous robotics
• Image recognition
• Machine learning
• Embedded AI systems
• Intelligent sensing

Product Highlights

Camera Type: Stereo AI Vision Camera
Number of Cameras: 2
Camera Resolution: Dual 2 MP
Field of View: Up to 178°
Vision Type: Stereo / Wide-Angle Vision
Primary Functions: Imaging, AI vision, depth perception and spatial awareness
Recommended Applications: Robotics, autonomous systems, computer vision, embedded AI and research platforms

Why Choose the RDK X5 Stereo AI Vision Camera?

The RDK X5 Stereo AI Vision Camera combines dual-camera stereo perception, a very wide 178° viewing angle, compact construction, and AI-oriented functionality in a single module. It is an excellent choice for developers who need a camera solution for intelligent robots and advanced vision projects where both wide visual coverage and spatial information are important.

Whether used for a university research platform, autonomous robot, AI vision prototype, or embedded perception system, the module provides a flexible foundation for building advanced computer-vision and intelligent sensing applications.