Industrial Hazard Prevention Using Raspberry Pi

Das, Prabin Kumar; Malik, Praveen Kumar; Singh, Rajesh; Gehlot, Anita; Gupta, Km Vaishnavi; Singh, Arun

doi:10.1007/978-981-15-0633-8_146

Cited by 13 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Issued tokens can be useful for an individual to benefit from voting rights and capital rights in a company, and it provides access to various applications and services by executing a smart contract. 112…”

Section: Future Research Directionsmentioning

confidence: 99%

Adoption of blockchain technology in various realms: Opportunities and challenges

Akram

Malik

Singh

et al. 2020

Security and Privacy

Self Cite

148

View full text Add to dashboard Cite

Our society is becoming “smarter” and more interconnected, as evidenced by technological trends such as smart farming, smart healthcare, supply chain and logistics, and smart city and nation. Security and privacy are two major key considerations in these smart applications, such as blockchain‐based security solutions for Industry 4.0‐based applications (the focus of this study). In this study, we present a systematic review of existing blockchain‐based solutions, particularly for Industry 4.0‐based applications. We present the merits and demerits of various state‐of‐the‐art approaches. We also highlight the challenges of the blockchain with the scope of interoperability and governance so that this gives a clear understanding to researchers and professionals.

show abstract

Section: Future Research Directionsmentioning

confidence: 99%

Adoption of blockchain technology in various realms: Opportunities and challenges

Akram

Malik

Singh

et al. 2020

Security and Privacy

Self Cite

148

View full text Add to dashboard Cite

show abstract

“…Closed systems, on the other hand, has the defense for contamination. Essential parameters such as temperature, pH level, and oxygen level can also be monitored using closed systems [3]- [6]. Insufficient monitoring of the culture results to lower production of the aquaculture, technological solutions such as data monitoring using Internet of Things (IoT) devices and platform provides real-time tracking of the essential parameters [7].…”

Section: Introductionmentioning

confidence: 99%

IoT-based Closed Algal Cultivation System with Vision System for Cell Count through ImageJ via Raspberry Pi

Tolentino¹,

Belarmino²,

Chan³

et al. 2021

IJACSA

View full text Add to dashboard Cite

Spirulina platensis and other microalgae are now being considered in the different fields of research. It is due to the former's endless potential let alone, its high protein content. That is why, a stable demand of microalga production is now necessary. To achieve a high-protein spirulina, its cultivation using closed algal cultivation requires monitoring and maintenance of the bio-environmental factors and parameters affecting its growth to provide a stable and efficient production of microalgae. Meanwhile, laboratories that culture spirulina determine its cell count through manually counting the cells under a microscopea tedious work. This establishes the need to construct a device that cultivates spirulina with maintaining and cell counting capabilities. Thus, the proponents developed a culturing device that has three main systems. The first system is tasked to maintain the bio-environmental parameters, such as the pH level, temperature, and light. The second system on the other hand speaks of the cell counting system through ImageJ's Image Processing. This system verifies the cell count and growth through counting the filaments of the spirulina. Lastly, a corresponding Android application, which was developed using Firebase and Android Studio, displays real-time values of the culture's parameter. Results show that the device was able to stabilize its parameters. Also, red LEDs exhibited 28.43% higher approximate cell count than red-blue LEDs. With this, the quality of the Spirulina that was produced throughout the study was improved. Lastly, the use of ImageJ's image processing feature showed no significant difference with manual counting. It also releases the results multiple times faster than the manual counting. Thus, being a better alternative to manual cell counting.

show abstract