Facts

• Company: Stereolabs
• Product type: Edge Compute System
• Status: active

Profile sections

• Summary
• Overview
• Market context
• Audience
• Workflow
• Capability
• Deployment environment
• Positioning tags
• Specifications
• Timeline / Research
• Sources

Summary

ZED Box is Stereolabs embedded AI computer for robotics and 3D vision. Powered by NVIDIA Jetson modules, it processes ZED camera data, neural networks and spatial perception workloads at the edge.

Overview

ZED Box is Stereolabs embedded AI computer for robotics and 3D vision. Powered by NVIDIA Jetson modules, it processes ZED camera data, neural networks and spatial perception workloads at the edge.

Market context

Edge AI computing unit designed to run Stereolabs perception stack locally.

• Target environment: Robotics, automation and edge-AI systems that need sensing, depth perception, vision processing or local compute.
• Workflow context: Depth sensing, visual perception, edge processing, object detection, tracking and robot awareness.
• Customer context: Robot builders, machine-vision teams, automation engineers and edge-AI developers.
• Deployment model: Commercial or available product positioned for customer use, integration or developer adoption.
• Commercial maturity: Publicly presented as commercial or available, with maturity depending on deployment scale and support coverage.
• Adoption constraints: Adoption depends on accuracy, latency, environmental robustness, SDK quality, compute budget and integration with the robot stack.
• Market position: ZED Box sits in the perception and compute layer that helps robots understand or process the physical world.
• Adjacent products: ZED cameras, Ouster lidar, Cognex VisionPro, NVIDIA Jetson

Audience

Robot OEMs

Workflow

Depth sensing, visual perception, edge processing, object detection, tracking and robot awareness.

Capability

Edge Compute System

Deployment environment

Robotics, automation and edge-AI systems that need sensing, depth perception, vision processing or local compute.

Positioning tags

• Audience: Robot OEMs
• Workflow: Depth sensing, visual perception, edge processing, object detection, tracking and robot awareness.
• Capability: Edge Compute System
• Deployment environment: Robotics, automation and edge-AI systems that need sensing, depth perception, vision processing or local compute.

Specifications

• Core Functions: edge compute; perception processing; AI inference; sensor integration

Timeline / Research

• 2025-03-19 - Product Launch - Stereolabs launches ZED Box Mini Super for edge AI vision - Stereolabs announced the ZED Box Mini Super as a compact embedded AI computer for vision workloads at the edge.