A Lilz device in a real world situation, and an example of its readouts. (Not the same gauges, to be clear.)<\/p>\n<\/div>\n

As far as the hardware, Lilz has been working on getting \u201cintrinsically safe\u201d certification as well, meaning the cameras pose no risk of creating safety issues, for example shorting out and causing a spark that could ignite inflammable fumes. This frequently involves large enclosures for devices, but Lilz designed for it from the start, and its intrinsically safe cameras will only weigh 550 grams.<\/p>\n

They\u2019re also planning on releasing a thermal camera with similar qualities to the RGB one; thermal monitoring is important in uncrewed power stations, where a person would simply have to visit with a handheld thermal camera to check. Naturally automating this process is desirable. Like other widely distributed businesses like gas storage and delivery, removing the need for these checks is not only safer, but saves money, time, and fuel.<\/p>\n

Although it would be a stretch to call Lilz an AI company, it\u2019s certainly close enough to claim kinship while the AI market continues to expand. Though it regularly improves its computer vision algorithms and the methods of accessing the data, Kuba Kolodziejczyk, the company\u2019s CTO, said they\u2019ve seen interest beyond meter-reading, since the devices are often at key locations in facilities.<\/p>\n

\u201cWhile we focus on analog gauges, with our cameras clients can also capture other aspects of their processes they couldn\u2019t track before, and are asking us for capabilities to detect events of interest,\u201d he told TechCrunch. \u201cSome examples we see now are abnormal temperature changes (which ties back to our thermal vision camera offering) and leaks, for both equipment and surrounding environment.\u201d<\/p>\n

Lilz devices could learn to detect outliers with very sparse data, he said, but cautioned that \u201cthis project is still in exploration phase.\u201d<\/p>\n<\/p><\/div>\n

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