Processors
Vision-on-chip with NU4000 and NU4100
A family of multi-core vision processors
that support 3D Imaging (3D depth)
with Computer Vision (CV) and Deep
Learning processing. Improved depth
quality (to 1/16 sub pixel resolution),
SLAM accelerator and Deep Learning
(CNN) processor. The NU4100 adds an
integrated high quality dual ISP and more.
Sensor modules
Depth and AI Sensor Modules
OVERVIEW Built around the NU4000 and NU4100 Vision-on-Chip processors, Inuitive’s M4.5 series of sensor modules easily integrate into robotic and other edge-AI vision systems, providing them with a human-like visual perception. The M4.5 series combines depth sensing and AI-enabled image processing to address challenges of Autonomous Mobile Robots (AMR), robotic arms and face recognition applications. […]
Depth, AI and Tracking Sensor Modules
OVERVIEW Built around the NU4000 and NU4100 Vision-on-Chip processors, Inuitive’s series of depth, AI and tracking sensor modules, easily integrate into robotic and other edge-AI vision systems, providing them with a human-like visual perception. This series of sensor modules is specially designed in a metal case to best serve in industrial environmental conditions. It features […]
M4.3WN-TS
OVERVIEW Equipped with the NU4000 Vision-on-Chip processor, Inuitive’s M4.3WN-TS tracking sensor module presents a robust solution for visual perception and tracking in autonomous mobile robots. It offers not only a comprehensive visual SLAM solution but also boasts an IP65-rated enclosure for dust and water resistance. By utilizing the NU4000’s capabilities, the module efficiently manages all […]
M4.5-CE
OVERVIEW Designed to easily integrate into smart retail and autonomous shopping systems, Inuitive’s M4.5-CE sensor module is built around the NU4000 Vision-on-Chip (VoC) processor and integrates depth sensing and image processing with AI capabilities. Engineered for seamless integration, The M4.5-CE is a highly power efficient, and a self-sufficient depth sensor platform. When deployed together with […]
