HAZARD RECONNAISSANCE RECOVER USING RASPBERRY PI AND MULTIPLE SENSORS

Language: English

Published by Scholars' Press, 2026

6209919081 / 9786209919084

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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nach der Bestellung gedruckt Neuware - Printed after ordering - The proposed system can be further enhanced by integrating advanced sensors such as CO2, CO, CH , and LPG gas sensors to detect harmful gases, along with radiation and vibration sensors for identifying environmental instability. Additionally, pH and moisture sensors can be used for underground analysis to assess soil conditions. Autonomous navigation can be achieved using ultrasonic sensors for obstacle avoidance, camera-based path detection, and advanced SLAM algorithms for real-time mapping and localization. The system can also incorporate AI-based hazard classification, where machine learning models analyze environmental data to determine danger levels and predict potential risks using historical data. Live video surveillance can be implemented by integrating a Pi Camera, enabling real-time monitoring and streaming through platforms like Blynk. Furthermore, drone integration can extend the system's capabilities by enabling airborne hazard detection in high-risk or inaccessible areas. Finally, cloud data analytics can be used to store and analyze collected data over time, supporting long-term environmental safety assessment and decision-making.…

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Bibliographic details

Title
HAZARD RECONNAISSANCE RECOVER USING RASPBERRY PI AND MULTIPLE SENSORS
Author
K. Sudha Rani
Publisher
Scholars' Press
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6209919081
ISBN 13
9786209919084
Item weight
155 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.05US$ 50.21
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Einbeck, Germany 37574