Pytorch POC 6: WIFI Indoor Positioning

Project Map of DLC

Overview

This is still a very early stage of POC. With a pre-defined datasets, with many WIFI APP signal strengths data try to prdict the real location of the indoor room.

This might be the first POC try to define our input and output data formats.

Also, this POC also be a high level connector of several different components together since it will leaverage multi factor information to conclude a precise indoor locationing.

When it comes to localization within buildings, a distinction can be made between client-based (Active tracking) and server-based positioning ( Passive tracking + Active tracking as optional). Client-based localization enables determining the position directly on the end user's device (e. g. smartphone). In the case of server-based localization, positioning takes place on a server.

Technologies for Client-Based Indoor Positioning

Client-Based Indoor Positioning Compared: Wi-Fi vs. BLE vs. UWB vs. RFID vs. Ultrasound

Technology	Accuracy	Range
WIFI	<15m	<150m
BLE 4	<8m	<75m
BLE 5.1	<1m	<75m
UWB	<30cm	<150m
RFID	Present detection only	<1m

Technologies for Server-Based Indoor Positioning

Server-Based Indoor Positioning Compared: Wi-Fi vs. BLE vs. UWB vs. RFID vs. Ultrasound

Technology	Accuracy	Range
WIFI	<15m	<150m
BLE 4	<8m	<75m
BLE 5.1	<1m	<75m
UWB	<30cm	<150m
RFID	Present detection only	<1m
Ultrasound	<4m	<8m or Wall

Indoor Positioning Technology	Comments
Client-Based	No server setup. Use existing framework. but, low precision
Server-Based (Passive tracking only)	Server only. 3-5 sec delay. Not realtime application
Server-Based (Passive+Active tracking)	Need sever+client to get hybrid info for realtime & stable location info

Deeper insights of Client-Based Indoor Positioning

Indoor Positioning Use Cases

Many different use cases.

POC using find3

Git Repo	Status	Progress	Comments
			Family=barco API:Devices by Loc (w 1 mins)

Get info of device='dlc2.barco.com' & family='barco' from find3 server

curl -s -L -XGET "http://dlc1.barco.com:8005/api/v1/location_basic/barco/dlc2.barco.com"

Get WIFI/BT SSID, BSSID, RSSID of the location and device

curl -XGET http://dlc1.barco.com:8005/api/v1/location/barco/dlc2.barco.com

Get all devices within 1 minsfrom family='barco' from find3 server and output it as a table

curl -s -L -XGET "http://dlc1.barco.com:8005/api/v1/by_location/barco?history=1&num_scanners=1" | jq -s '.[] | .locations | .[] |.devices' | jsoncsv -A  | mkexcel | csvcut  -d , -C 5  |csvlook --snifflimit 0  | sudo tee output.txt

Update GPS info of location 'Aris Cube' (device=dlc2.barco.com)

curl -s -L -XPOST "http://dlc1.barco.com:8005/api/v1/gps" -H "Content-Type:application/json" --data-binary '{"f":"Barco","l":"Aris Cube","gps":{"lat":25.01290,"lon":121.46701,"alt":0}}'

Delete family=barco data (Dangersous operation!!! Warning!!!)

 curl -s -L -XDELETE "http://dlc1.barco.com:8005/api/v1/database/barco"

Block diagram of find3

Signal strength (dBm)	Expected Quality
-90	Chances of connecting are very low at this level
-80	Unreliable signal strength
-67	Reliable signal strength– the edge of what Cisco considers to be adequate to support Voice over WLAN
-55	Anything down to this level can be considered excellent signal strength.
-30	Maximum signal strength, you are probably standing right next to the access point.

A snapshot of find3 active RSSI & its BSSID, SSID on 2020/08/31 nearby dlc2.barco.com

Rssi	Freq	Type	Algo	Rate	BSSID	SSID
-50	2.412 GHz	802.11n	6	12	E8 D0 FC BF 18 0D	ClickShare-Mobile-CX20
-52	5.825 GHz	802.11ac	7	8	04 D4 C4 D3 42 84	ASUS_Automation_5G
-72	5.825 GHz	802.11ac	7	8	E4 AA EA 58 43 93	CX-50-DEMO-RICHEN
-50	2.457 GHz	802.11n	7	12	B0 7F B9 82 03 04	NETGEAR25
-66	2.437 GHz		7	7	F0 1D 2D 5D A9 C0	Barco
-58	5.24 GHz	802.11n	6	8	28 24 FF 69 5B B7	TestRoom_CSE800_mac (5GHz)
-55	2.437 GHz		7	7	F0 1D 2D 5B 54 61	Barco Guest
-61	5.24 GHz	802.11ac	1	8	3C 91 80 84 95 07	ClickShare-HW-UniSee
-71	5.24 GHz	802.11ac	7	8	E4 AA EA 35 04 65	ClickShare-1863551994
-55	2.437 GHz	802.11n	7	12	BE 42 4F CB C3 44	TestRoom-EAP-WinServer
-46	5.785 GHz		6	8	7C 10 C9 61 97 84	TAI-QA-ASUSROG-6E_5G
-49	5.18 GHz	802.11ac	7	8	10 63 C8 97 03 9F	TAI_MR08
-58	5.785 GHz	802.11ac	7	8	BC CF 4F CB C3 43	TestRoom-EAP
-63	5.18 GHz	802.11ac	6	8	3C 91 80 84 9C 5D	ClickShare-1862300001
-59	5.3 GHz		7	6	F0 1D 2D 5A D5 6F	Barco
-57	2.412 GHz	802.11n	7	12	D4 6E 0E 41 61 EA	keroro24
-60	5.32 GHz		9	6	F0 1D 2D 5B 54 6E	Barco Guest
-68	5.58 GHz		7	6	F0 1D 2D 5A D9 8D	BarcoIoT
-55	5.18 GHz	802.11ac	7	8	3C 91 80 84 9C 5F	TAI_MR09
-59	5.745 GHz	802.11ac	7	8	E4 AA EA 74 46 FF	ClickShare-Mobile-CX50
-53	2.412 GHz		7	7	F0 1D 2D 5A D5 62	BarcoIoT
-69	5.805 GHz	802.11ac	6	8	D4 6E 0E 41 61 E9	keroro5
-62	5.24 GHz	802.11ac	7	8	F8 A2 D6 6E 09 CF	TestRoom_CSE200P_mac
-58	5.785 GHz	802.11ac	7	8	BE 43 4F CB C3 45	TestRoom-EAP-WinServer
-73	5.68 GHz		7	6	F0 1D 2D 5C 27 CF
-39	2.447 GHz	802.11n	7	12	2C FD A1 CD 32 38	ASUS
-69	5.765 GHz	802.11ac	7	8	70 2E D9 42 F4 76	MAXHUB-6BF
-56	5.745 GHz	802.11ac	7	8	E4 AA EA 35 21 3F	SClickShare-1863551600
-58	5.785 GHz	802.11ac	7	8	BE 43 4F CB C3 44	TestRoom-PSK2
-62	2.412 GHz	802.11n	7	12	E8 D0 FC BF 13 5F	ClickShare-1862300251
-59	5.18 GHz	802.11ac	7	8	E4 AA EA 74 2C D3	ClickShare-1863553421
-60	2.452 GHz	802.11n	7	12	04 D4 C4 35 69 E8	ASUS_SQA_JessicaHsu_2.4G
-59	5.18 GHz	802.11ac	7	8	3C 91 80 84 95 D3	ClickShare-MR12
-69	2.412 GHz		1	7	F0 1D 2D 5A D9 82	BarcoIoT
-61	2.412 GHz	802.11n	7	12	BC 30 7E F1 1D 9B	ClickShare Audi-1
-61	5.18 GHz	802.11ac	7	8	3C 91 80 84 97 59	ClickShare-1862300078
-60	5.32 GHz		7	6	F0 1D 2D 5B 54 6F
-78	2.437 GHz	802.11n	7	8	02 21 6A F8 2F AF	DIRECT-ZWTAICLT24036msZe
-62	5.24 GHz	802.11ac	1	8	02 12 5F 17 67 2F	WiCS-2100-72E
-59	2.462 GHz	802.11n	7	12	00 D0 41 DC 13 C8	myvita
-55	5.18 GHz	802.11ac	7	8	3C 91 80 84 9F 25	ClickShare-0716174986
-71	5.18 GHz	802.11ac	7	8	10 63 C8 A7 9E 23	TAI_MR04
-86	5.18 GHz	802.11ac	1	8	10 63 C8 96 FF 87	TAI_MR01
-28	2.427 GHz	802.11n	1	12	7A DA 88 B2 74 EC
-66	2.422 GHz	802.11n	7	12	BC 30 7E DD 3D FE	WiPG-1000-78C
-56	5.18 GHz	802.11ac	7	8	F8 A2 D6 8D BF 8F	ClickShare-1863550102
-59	5.3 GHz		7	6	F0 1D 2D 5A D5 6D	BarcoIoT
-73	5.24 GHz	802.11n	7	8	D8 61 62 8B 1D EF	TAI-MR06-Pingtung
-52	5.18 GHz	802.11ac	7	8	12 63 C8 14 92 3B	DIRECT-BM
-83	5.68 GHz		7	6	F0 1D 2D 5A CC AE	Barco Guest
-81	5.26 GHz		7	6	F0 1D 2D 5D B2 AF
-68	2.437 GHz	802.11n	7	12	BC EE 7B 7D 46 C0
-81	5.745 GHz	802.11ac	7	8	02 12 5F 17 68 8C	WiCS-2100-88B
-68	5.58 GHz		7	6	F0 1D 2D 5A D9 8E	Barco Guest
-55	2.437 GHz	802.11n	1	12	BE 42 4F CB C3 43	TestRoom-PSK2
-77	5.745 GHz	802.11ac	7	8	02 12 5F 17 66 66	WiCS-2100-665
-52	5.18 GHz	802.11n	7	8	28 24 FF 4D 1B FD	ClickShare-1872075087
-82	5.2 GHz	802.11n	1	8	BC 30 7E D9 C3 F4	ClickShare-8000000049
-72	5.18 GHz	802.11ac	7	8	E4 AA EA 74 26 59	CX-50_Service
-71	5.18 GHz	802.11ac	7	8	E8 D0 FC BF 15 D1	Agile 01
-58	5.18 GHz	802.11ac	7	8	3C 91 80 84 95 B3	ClickShare-1862300131
-48	5.745 GHz	802.11ac	7	8	2C FD A1 CD 32 3C	ASUS_5G
-47	5.18 GHz	802.11ac	6	8	E4 AA EA 58 45 8B	ClickShare-1863552495
-84	5.22 GHz	802.11ac	7	8	3C 91 80 84 98 13	TAI_MR03
-69	5.18 GHz	802.11n	7	8	B8 B7 F1 01 B0 2D	ClickShare-1873124000
-45	2.412 GHz	802.11n	1	12	C8 60 00 AC FB 30	ASUS-FA
-64	2.462 GHz		1	7	F0 1D 2D 5C 27 C0
-68	5.58 GHz		7	6	F0 1D 2D 5A D9 8F	Barco
-54	2.412 GHz		7	7	F0 1D 2D 5A D5 61	Barco Guest
-64	5.745 GHz	802.11ac	7	8	02 12 5F 17 67 F2	WiCS-2100-LIN
-53	5.2 GHz	802.11ac	9	8	04 D4 C4 35 69 EC	ASUS_SQA_JessicaHsu_5G
-64	2.462 GHz		7	7	F0 1D 2D 5C 27 C2	BarcoIoT
-59	5.18 GHz	802.11ac	7	8	F8 A2 D6 8D BF 5D	ClickShare-1863550098
-81	5.745 GHz	802.11ac	7	8	02 12 5F 30 00 AC	WiCS-2100-0AB
-53	2.462 GHz	802.11n	7	12	00 4E 35 1A C8 60	TAI-ClickShare-WPA2-DFS
-73	5.68 GHz		9	6	F0 1D 2D 5C 27 CD	BarcoIoT
-59	5.18 GHz	802.11ac	7	8	F8 A2 D6 8D CB 39	ClickShare-1863550140
-75	5.22 GHz	802.11n	7	8	28 24 FF 5B 05 05	CSE-200-demo
-61	5.18 GHz	802.11ac	7	8	10 63 C8 BF B1 81	ClickShare-1862337967
-80	5.26 GHz		7	6	F0 1D 2D 5D B2 AE	Barco Guest
-53	5.18 GHz	802.11ac	1	8	A0 40 A0 82 49 0E	QA-test-5G
-51	2.412 GHz	802.11n	7	12	10 63 C8 96 F7 F3	ClickShare-T20
-60	5.32 GHz		7	6	F0 1D 2D 5B 54 6D	BarcoIoT
-43	5.22 GHz		7	8	6C CD D6 F5 9D 69	HW_WIFI6E_5G
-52	2.462 GHz	802.11n	7	12	18 31 BF C5 D1 38	SQA_Balloon_24G
-82	5.68 GHz		7	6	F0 1D 2D 5A CC AF	Barco
-84	5.745 GHz	802.11ac	7	8	02 12 5F 30 06 4F	WiCS-2100-64E
-45	2.437 GHz		7	12	7C 10 C9 61 97 80	TAI-QA-ASUSROG-6E_2.4G
-58	5.18 GHz	802.11ac	7	8	E4 AA EA 58 43 81	ClickShare-1863552454
-75	5.5 GHz		7	6	F0 1D 2D 5D A9 CD	BarcoIoT
-75	5.18 GHz	802.11ac	7	8	D8 F3 BC 54 4B 89	ClickShare-1862375851
-43	2.472 GHz		7	12	08 36 C9 2F 78 F5	TAI-QA-NetGear-2.4G
-63	2.412 GHz	802.11n	7	12	3C 91 80 84 9C 91	ClickShare-1862300102
-68	2.412 GHz		6	7	F0 1D 2D 5A D9 80	Barco
-66	2.437 GHz		7	7	F0 1D 2D 5D A9 C2	BarcoIoT
-63	5.5 GHz	802.11ac	7	8	00 4E 35 1A C8 70	TAI-ClickShare-WPA2-DFS

Live demo of find3 passive RSSI of dlc2.barco.com

PPT

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References

• 基于WiFi指纹的室内定位 (autoencoder)
• 移動設備究竟是怎樣僅僅使用Wi-Fi 來定位的?
• Wifi indoor positioning using Arduino and Machine Learning in 4 steps
• Fingerprinting Acoustic Localization Indoor Based on Cluster Analysis and Iterative Interpolation
• Learning the Localization Function: Machine Learning Approach to Fingerprinting Localization
• WiDeep: WiFi-based Accurate and Robust Indoor Localization System using Deep Learning
• UJIndoorLoc dataset download
• Wi-Fi- based Indoor Positioning System Using Smartphones
• [MQTT] Mosquitto Docker 架設與設定詳細過程
• 如何在家中任何地方檢查 Wi-Fi 信號強度
• iABACUS: A Wi-Fi-Based Automatic Bus Passenger counting System
• WIFI monitor mode- wiki
• WIFI Promiscuous mode- wifi
• wireshark
• Wireshark- Analyzing Wireless Packet Captures
• Scapy- Packet crafting for Python2 and Python3