Low-cost system for analysis pedestrian flow from an aerial view using Near-Infrared, Microwave, and Temperature sensors

Mejia-Herrera, M.; Botero-Valencia, J.S.; Betancur-Vásquez, D; Moncada-Acevedo, E.A.

doi:10.1016/j.ohx.2023.e00403

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…The Firebeetle ESP32 is a low-cost system on chip (SoC) microcontroller developed by espressif systems, the same company behind the renowned ESP8266 SoC used in NodeMCU [17]. It serves as the successor to the ESP8266 SoC and features a 32-bit Xtensa LX6 microprocessor with integrated Wi-Fi and Bluetooth capabilities [22].…”

Section: Communication Layermentioning

confidence: 99%

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Water quality monitoring with an early warning system for enhancing the shrimp aquaculture production

Aryotejo,

Adi,

Sarwoko

2024

IJEECS

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Aquaculture provided 43% of the aquatic animal food consumed by humans in 2007, and it is anticipated to expand even more to meet the increasing future demand. Marine Science Techno Park (MSTP) is one of the Techno Parks in Indonesia and is located in Teluk Awur, Jepara. MSTP has an intensive system of Vannamei shrimp farming activities. The challenge that has been faced annually is the organic matter of the remaining shrimp feed that accumulates in the waters can cause a decrease in pond water quality. Ammonia-N anions derived from the decomposition of feed residues can cause toxins in shrimp culture ponds which can further interfere with shrimp survival. The objective of this study is to design a self-controlled water quality monitoring system that is equipped with an early warning system based on internet of things (IoT) and to implement the design for analyzing the water quality including dissolved oxygen (DO), pH, and temperature in the Vannamei farming pond of MSTP UNDIP through integrating IoT which is equipped with an early warning system. If the water quality reaches a threshold value, the monitoring system will send a sound signal to the buzzer followed by sending an alert notification in real-time conditions automatically to a smartphone.

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Section: Communication Layermentioning

confidence: 99%

“…To address this challenge, integrating internet of things (IoT) technologies is vital for the transformation of conventional farming methods into smart farming systems [16], [17]. Proficiency in computer networking is essential for the successful implementation of IoT [18].…”

mentioning

confidence: 99%

Water quality monitoring with an early warning system for enhancing the shrimp aquaculture production

Aryotejo,

Adi,

Sarwoko

2024

IJEECS

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Infrared pedestrian detection using improved UNet and YOLO through sharing visible light domain information

Juanli

Zhao

et al. 2023

Measurement

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Security protocol for securing notifications about dangerous events in the agglomeration

Szymoniak

2024

Pervasive and Mobile Computing

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Low-cost system for analysis pedestrian flow from an aerial view using Near-Infrared, Microwave, and Temperature sensors

Cited by 4 publications

References 19 publications

Water quality monitoring with an early warning system for enhancing the shrimp aquaculture production

Water quality monitoring with an early warning system for enhancing the shrimp aquaculture production

Infrared pedestrian detection using improved UNet and YOLO through sharing visible light domain information

Security protocol for securing notifications about dangerous events in the agglomeration

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