ARTIFICIAL INTELLIGENCE
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Absen’s Naked-Eye 3D solutions are significantly enhanced by automation
adjustment is gradual and smooth, ensuring energy efficiency while avoiding discomfort for viewers due to sudden changes.” Meanwhile, the company is also looking inwards to see how AI can improve its own production processes. Rengel says: “There are several aspects where we try to incorporate AI to optimise the operations [related to the actual] production of the LED screens – and when I say production, I include aspects such as quality control of the materials, quality control of the production and optimisation of the warehousing, logistics and so on.” In short, there is scope for AI to improve the performance and power consumption of the displays, but also ‘the performance as a company’. This duality of purpose is likely to become increasingly important as the AI-enhanced areas of the pro AV industry grow more competitive. As with any comparatively new area of technology, it is probable that the industry will witness its fair share of misfires and applications that – although interesting – do not really have a long-term commercial future. But what is beyond any doubt is that a great number of companies are looking at a huge variety of potential applications – and it is a fair assumption to suggest there are many more that we are not yet aware of. For all the understandable trepidation about some aspects of AI, it is clear we are in the early stages of a new golden age of innovation.
highly likely that the potential of AI to optimise their power requirements will resonate strongly. Whereas some applications might be pertinent to specific areas of broadcast or cinema, for instance, Rengel notes: “Power consumption is something that everybody cares about.” In a white paper available on the Absen website, the company outlines an energy-saving model informed by factors such as environmental brightness and the level of footfall around the screen that comprises three main components. There’s the perception layer, which gathers data like lighting and foot traffic using various sensors; the processing layer, which employs AI algorithms to analyse this data and determine optimal brightness and energy settings; and the application layer, which displays content based on these settings while continuously feeding data back to the processing layer for real-time adjustments – thereby ensuring the best display results. One scenario proposed in the Absen document is Crowd Monitoring Energy-Saving, in which high-precision sensors and advanced image processing technology are utilised to capture and analyse real-time crowd data in the viewing area. It states: “When the system detects prolonged absence of people or extremely low foot traffic, it automatically reduces the LED display brightness or switches to sleep mode to minimise unnecessary energy consumption. The brightness
Brightness adjustment is both gradual and smooth – ensuring efficiency while avoiding any sudden change that causes discomfort”
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