Isbn: 9786209919084 - Hazard Reconnaissance Recover Using Raspberry Pi and Multiple Sensors (4 results)

Taschenbuch. Condition: Neu. HAZARD RECONNAISSANCE RECOVER USING RASPBERRY PI AND MULTIPLE SENSORS | M. Aravind Kumar (u. a.) | Taschenbuch | Englisch | 2026 | Scholars' Press | EAN 9786209919084 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch.

Taschenbuch. Condition: Neu. 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.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.