An inexpensive wireless smart camera system for IoT applications based on an ARM Cortex-M7 microcontroller

Ribes, Marcel Tresánchez; Pujol, Alex; Cabrè, Tomàs Pallejà; Martínez, Dani; Bellmunt, Eduard Clotet; Palacín, Jordi

doi:10.5383/juspn.11.02.001

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…MJPEG is often used in streaming functions because of its advantage of not draining system memory excessively [17]. This format is also used in research of monitoring systems using Raspberry Pi [18] and the study of intelligent camera systems [19].…”

Section: The Development Of Application Program For Raspberry Pimentioning

confidence: 99%

The Development of Chicken Coop Automatic Remote Visual Monitoring System

Wahjuni

Sanjiwo²,

Wulandari³

et al. 2022

SJI

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Purpose: A remote visual monitoring system will be very helpful for chicken farmers to monitor their cages, that usually located away from their houses. This system needs adequate bandwidth in transmitting the video over the internet, which is usually very limited in urban areas. The main goal of this research is to develop an automatic chicken coop remote monitoring system and define the optimum video resolution to be transmitted. Methods: We used an 8 MP Raspberry Pi camera V2 to record the video and send the results to Google Drive by utilizing the GDrive API. Furthermore, a live streaming video from the chicken coop is accessible through a simple HTTP web page utilizing ngrok as a tunneling software so that the live streaming video can be publicly accessed from anywhere using a web browser. Three video resolutions of 640x480, 800x600, 1024x768 with 15 and 30 framerates were used in our experiments. Each scenario has a duration of five minutes and takes 12 times.Result: The experiment results showed, resolutions that provide a stable video recording and streaming are 640x480 and 800x600. The resulting system succeeded in performing live streaming along with the process of data acquisition. Value: The Google Drive infrastructure is used because of its popularity and convenience by people with limited digital literacy such as smallholder chicken farmers. Furthermore, the video produced by this system can be used in supporting research of chicken behavior pattern identification to build a system notification of an emergency situation in the cage.

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Section: The Development Of Application Program For Raspberry Pimentioning

confidence: 99%

The Development of Chicken Coop Automatic Remote Visual Monitoring System

Wahjuni

Sanjiwo²,

Wulandari³

et al. 2022

SJI

View full text Add to dashboard Cite

show abstract

“…The modules utilized in a single slave node are shown in Table 2. Raspberry pi is a low-cost, low-power Wi-Fi microchip with full TCP/IP stack and microcontroller capabilities [23]. A Raspberry Pi is used to keep the system running.…”

Section: Fig3 System Use Case Diagrammentioning

confidence: 99%

Proposed Model for Sustainable and Scalable Vertical Farm

2022

Nile Journal of Communication and Computer Science

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This project summarizes the implementation of vertical farming that uses a Wi-Fi network to communicate with sensors and actuators from multiple nodes. It addresses the issue of ordinary vertical farms, which require the user to monitor it occasionally to provide fertilizer and water. The system can be easily configured to automatically control the supply of nutrients, water, and light requirements for various plant types through a mobile application enabled Interface. The mobile application dashboard can further provide a complex analysis of the whole system by collecting values from different sensors. The designed vertical farm system is power efficient, self-sustained, and can be set up easily by the user as each vertical rack acts as a single node or module. The user only needs to plant the seeds and fill up the tanks. Due to the modular approach, the system is also scalable without the requirement of more complicated materials or wiring.

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“…Comparing to a recent power-efficient eye-tracking solution presented in [77], this new proposal is within the estimated power range (from 70 mW to 5.25 W), using a Raspberry Pi 3 in lowpower mode operating at only 1 kHz. Complex image processing requirements will increase the power consumption as the system proposed in [78] based on a high-performance 32-bit…”

Section: Pointing Devicementioning

confidence: 99%

Optical Mouse Sensor for Eye Blink Detection and Pupil Tracking: Application in a Low-Cost Eye-Controlled Pointing Device

2019

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In this paper, a new application of the optical mouse sensor is presented. The optical mouse is used as a main low-cost infrared vision system of a new proposal of a head-mounted human-computer interaction (HCI) device controlled by eye movements. The default optical mouse sensor lens and illumination source are replaced in order to improve its field of view and capture entire eye images. A complementary 8-bit microcontroller is used to acquire and process these images with two optimized algorithms to detect forced eye blinks and pupil displacements which are translated to computer pointer actions. This proposal introduces an inexpensive and approachable plug and play (PnP) device for people with severe disability in the upper extremities, neck, and head. The presented pointing device performs standard computer mouse actions with no extra software required. It uses the human interface device (HID) standard class of the universal serial bus (USB) increasing its compatibility for most computer platforms. This new device approach is aimed at improving comfortability and portability of the current commercial devices with simple installation and calibration. Several performance tests were done with different volunteer users obtaining an average pupil detection error of 0.34 pixels with a successful detection in 82.6% of all mouse events requested by means of pupil tracking.

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An inexpensive wireless smart camera system for IoT applications based on an ARM Cortex-M7 microcontroller

Cited by 5 publications

References 13 publications

The Development of Chicken Coop Automatic Remote Visual Monitoring System

The Development of Chicken Coop Automatic Remote Visual Monitoring System

Proposed Model for Sustainable and Scalable Vertical Farm

Optical Mouse Sensor for Eye Blink Detection and Pupil Tracking: Application in a Low-Cost Eye-Controlled Pointing Device

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