Automated Contactless Attendance System

Bhuvaneshwari, B.; Prasadh, H. Ranga Krishna; Sathish, P.; Anuja, V.; Mythily, A.

doi:10.1007/978-981-99-0835-6_37

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Two ESP32-CAM modules were programmed to capture photos and manage image uploads to the cloud. This process involved utilizing Apps Script, which facilitates communication between Google Drive and various electronic devices [22], [23], and subsequently programming the ESP32-CAM microcontroller accordingly. Meanwhile, for the remaining two modules, programming was executed to capture photos and store them on a micro SD card inserted into the module slot.…”

Section: Programming the Microcontroller For Image Acquisitionmentioning

confidence: 99%

Development of a payload for monitoring biological samples in microgravity and hypergravity conditions

Canto-Vivanco,

Ramos-Cosi,

Romero-Alva

et al. 2024

IJEECS

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This research aims to address the need for monitoring the behavior of organic and inorganic materials in hypergravity conditions. To fulfill this objective, a container with specific features was designed. The container has a box with a lid, measuring 10×10×10 cm, conforming to the 1U volume of the CubeSat standard. It includes four cylindrical spaces to accommodate the sample wells. The container was 3D printed using polylactic acid (PLA) wire. For the electronic components, four ESP32-CAM modules were utilized, with two programmed to capture and upload photos to the cloud, and the other two programmed to capture and store photos on a micro SD memory card. Additionally, four light emitting diodes (LEDs) were incorporated to illuminate the well spaces. The total weight of the container is 450 grams, and it has a maximum wireless upload distance of 10 meters to the cloud. The storage capacity of the SD memory card determines the number of images that can be saved.

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Section: Programming the Microcontroller For Image Acquisitionmentioning

confidence: 99%