This paper presents a detailed carbon-centered Life Cycle Analysis (LCA) of a video streaming device designed for long-term operation. We chose a development board with a screen to have full control on its operation, for which we have detailed information on its components allowing us to accurately model emissions from the production to the use of the device. Concerning its use, we perform a dedicated measurement series to determine the actual power consumption in different video playback scenarios and develop a linear power estimation model, which we use to evaluate different usage scenarios. The resulting LCA indicates that potential savings are highest when exploiting low-power sleep modes or switching off the device during its lifetime. When operating the device in a country with low carbon intensity, production and usage show similar emissions, while in countries with medium to high carbon emissions, the usage of the device causes significantly higher emissions.

We present a wearable full-color holographic augmented reality headset with binocular vision support and real-time embedded hologram calculation. Contrarily to most previously proposed prototypes, our headset employs high-speed amplitude-only microdisplays and embeds a compact and lightweight electronic board to drive and synchronize the microdisplays and light source engines. In addition, to enable a standalone usage of the headset, we developed a real-time hologram rendering engine capable of computing full-color binocular holograms at over 35 frames per second on a NVIDIA Jetson AGX Orin embedded platform. Finally, we provide a comparison of the efficiency of laser diodes and superluminescent diodes for the reduction of speckle noise, which greatly affects the reconstructed image’s quality. Experimental results show that our prototype enables full-color holographic images to be reconstructed with accurate focus cues and reduced speckle noise in real-time.