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The sensor network installed on the shelves monitors parameters such as temperature, humidity and vibration in real time, and uploads them to the cloud via LoRaWAN to achieve predictive maintenance. | |
A certain auto parts warehouse has reduced equipment downtime by 82% through this technology. We have also developed an AR-assisted picking system, which projects the optimal path on the helmet display, reducing the training cycle for new employees to 2 hours and increasing picking efficiency by 40%. | ![]() |
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![]() | ![]() | ![]() |
The sensor network installed on the shelves monitors parameters such as temperature, humidity and vibration in real time, and uploads them to the cloud via LoRaWAN to achieve predictive maintenance. | |
A certain auto parts warehouse has reduced equipment downtime by 82% through this technology. We have also developed an AR-assisted picking system, which projects the optimal path on the helmet display, reducing the training cycle for new employees to 2 hours and increasing picking efficiency by 40%. | ![]() |