Embedded The New Year issue of Imaging and Machine Vision Europe is out now! The New Year issue of Imaging and Machine Vision Europe is out now. Latest Content IDS integrates Sony 2MP sensor in colour and monochrome cameras Imago Technologies launches Vision Cam XM2 for edge AI Understanding the impact of spectral sensitivity New technologies Gidel presents edge computer with NVIDIA Jetson Orin NX system at Embedded World Vision Components presents new MIPI camera modules at Embedded World UC-310 White papers Triton Edge: The promise of industrial embedded vision systems This white paper will discuss in detail how Lucid’s Triton Edge camera helps vision application designers reduce their time-to-market while integrating their own IP into a compact vision system Improve production yields with hybrid AI Hybrid AI helps designers and integrators balance the best solution and integration with existing infrastructure as they navigate through Industry 4.0, Internet of Things, and artificial intelligence. Machine vision – a driver of digital agriculture This white paper explores how machine vision automates and optimises processes in agriculture. From industrial-scale agricultural enterprises to small farms, everyone is relying more on digital technologies in line with smart farming. More content IDS integrates Sony 2MP sensor in colour and monochrome cameras Imago Technologies launches Vision Cam XM2 for edge AI Understanding the impact of spectral sensitivity The New Year issue of Imaging and Machine Vision Europe is out now! How to integrate multiple cameras in embedded vision set-ups Factors to consider when integrating multiple cameras into embedded vision devices Prophesee unveils event-based sensor for ultra-low power edge AI vision devices Open standards powering the future of embedded vision Cincoze releases embedded computer for railway vision 3D stacked technologies applied to custom CMOS image sensors – should you invest in differentiation? The latest embedded vision products in 2023 Unlocking computer vision and machine learning on highly efficient MCU platforms Pagination Page 1 Next page Next ›
