DEEP LEARNING & IoT BASED SMART LIFE SAVINGEMERGENCY TRAFFIC LIGHT CON
Language: German
Published by Verlag Unser Wissen, 2021
- Softcover
- New
Condition: New
£ 34.28
Quantity: 2 available
Add to basketItem description from seller
Um die Verkehrs?berlastung zu verringern und die Einsatzgeschwindigkeit von Krankenwagenund Feuerwehrzu verbessern, m?ssen viele Systeme entwickelt werden. In diesem Projekt wird einintelligentesund automatisches Notrufsignalsystem vorgeschlagen. Es unterst?tztvor allem bei hohem Verkehrsaufkommen, insbesondere in St?dten.Der vorgeschlageneAnsatz bietet eine L?sung f?r Rettungsdienste wie Krankenwagen und Feuerwehrautos, umum den Verkehr zu vermeiden und das Ziel rechtzeitig zu erreichen. Dieses vorgeschlagene SystemArchitektur basiert auf Deep Learning Algorithmen und unterst?tzt Internet-ofThings (IoT) Ger?ten.Das Problem, dass Krankenwagen und Feuerwehrfahrzeuge im Stau stecken bleibenund fast 20 % der Todesf?lle bei Notfallpatienten werden durch Staus verursachtim Jahr. Um dieses Problem zu ?berwinden, sollte die Handhabung von Verkehrs- und Notfallsituationendurch Erkennung des Krankenwagens oder des Feuerwehrfahrzeugs in etwa 100 Metern Entfernung durch Blockieren andererund den normalen Betrieb wieder aufnimmt, nachdem er das Signal passiert hat. Das Endergebnis,dass die Einsatzfahrzeuge den Verkehr ohne oder mit minimaler Wartezeit durchfahrenZeit. Bei zuk?nftigen Arbeiten muss der ungleichm??ige Verkehrsfluss vermieden und dieSicherheit. De Gewicht in Gramm: 119.…
Seller Inventory # IB-15425740
- Title
- DEEP LEARNING & IoT BASED SMART LIFE SAVINGEMERGENCY TRAFFIC LIGHT CON
- Author
- V. Kanchana, S. Nithin Kumar, S. Jaganathan
- Publisher
- Verlag Unser Wissen
- Publication year
- 2021
- Condition
- Neu
- Binding
- Softcover/Taschenbuch
- Language
- German
- ISBN 10
- 6204057618
- ISBN 13
- 9786204057613
- Item weight
- 119 grams
"Synopsis" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 10 to 12 business days | 8 to 10 business days |
|---|---|---|
| First item | £ 41.62 | £ 62.56 |
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