The friendly surface-level rationale behind any mass data collection via surveillance is improved efficiency through metrics. With the right amount of the data, and the right analysts working through it, you can optimize pretty much any process. From a business perspective, this could potentially present new ways to work smarter, instead of working harder — increasing profits and productivity through better decision-making, which ultimately makes everyone happier.
In that context, it makes sense why a chain restaurant like Outback Steakhouse might be interested in implementing its own mini surveillance state. So far it's only limited to a single franchise in Portland, Oregon which is operated by Evergreen Restaurant Group. But Evergreen also owns some 40-other Outback Steakhouses throughout the country, which means this small pilot program could seen be expanded, if the suits think the metrics work out in their favor.
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According to Presto CEO Rajat Suri, Presto Vision takes advantage of preexisting surveillance cameras that many restaurants already have installed. The system uses machine learning to analyze footage of restaurant staff at work and interacting with guests. It aims to track metrics like how often a server tends to their tables or how long it takes for food to come out. At the end of a shift, managers receive an email of the compiled statistics, which they can then use to identify problems and infer whether servers, hostesses, and kitchen staff are adequately doing their jobs.