Comments for Latest Open Tech From Seeed

Comment on Year in Review: Seeed Studio in 2023 — A Symphony of Innovation, Growth and Unforgettable Moments! by AndyVilad

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Comment on Year in Review: Seeed Studio in 2023 — A Symphony of Innovation, Growth and Unforgettable Moments! by HydrogenExecutor

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Comment on Integrating Computer Vision, Edge Computing, and IoT on Raspberry Pi HMIs by basket random

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Comment on Year in Review: Seeed Studio in 2023 — A Symphony of Innovation, Growth and Unforgettable Moments! by Monker

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Comment on 3 Core GPS Tracking Technologies of GNSS, Wi-Fi, and BLE: How They Work, The Differences, and Applications with a Live Demo by Komparo

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Comment on AI-powered Home Security with DeepStack and Home Assistant by Bander

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Comment on Pose Landmark Detection on Raspberry Pi-powered HMIs at the Edge by Betfury review

Betfury review — Tue, 23 Jan 2024 14:08:30 +0000

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Comment on 3 Core GPS Tracking Technologies of GNSS, Wi-Fi, and BLE: How They Work, The Differences, and Applications with a Live Demo by Violet

Violet — Mon, 22 Jan 2024 07:24:35 +0000

In reply to geometry dash subzero.

Thanks for asking. Wi-Fi is used for indoor positioning. Each Wi-Fi router has a MAC Address, and there are mapping service providers who can use the Wi-Fi MAC address to create a map of the indoor space for you. In this way, when you deploy SenseCAP T1000 trackers indoors (for example for asset tracking), you can get their locations based on the Wi-Fi Router’s MAC Address.
I am sharing a few of the MAC addresses (below) from my SenseCAP T1000 tracker for your reference.
Wi-Fi MAC Address-5001
mac: 00:25:00:ff:94:73, rssi: -81,
mac: 00:24:a8:84:43:13, rssi: -88,
mac: d6:b2:c3:17:be:09,rssi:-94,

SenseCAP T1000 only shows the MAC Address, and I can’t tell the location of each MAC Address because I do not use any mapping service providers for Wi-Fi mapping.

If you use a Wi-Fi mapping provider, you should be able to have a drawing of the space and show the locations based on the MAC addresses.

Hope this helps. If you have any further questions, please feel free to leave us comments.

Comment on AI-powered Medical Sample Image Validation for Better Analysis and Diagnosis by KellyPol

KellyPol — Fri, 19 Jan 2024 12:44:57 +0000

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