Development of proximity monitoring system for class 2 vehicles/ John Carlo S. Berol, John Carlo B. Briones, Dio Jose A. Crisostomo, John Carlo B. Gariando, and John Von L. Linawan.--
Material type:
TextPublication details: Manila: Technological Univeristy of the Philippines, 2024.Description: xiii, 81pages: 29pagesContent type: - BTH TK 5105.59 B47 2024
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Bachelor's Thesis CIT
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TUP Manila Library | Thesis Section-2nd floor | BTH TK 5105.59 B47 2024 (Browse shelf(Opens below)) | c.1. | Not for loan | BTH0006302 |
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Bachelor's thesis
College of Industrial Technology.-- Bachelor of engineering technology major in electronic communications technology: Technological University of the Philippines, 2024.
Includes bibliographic references and index.
The study recommended creating a course 2 vehicle nearness observing framework to
extend activity proficiency and security. The framework utilized a Sharp Infrared separate
sensor, cameras, and an alarm to distinguish encompassing objects and vehicles. The driver
gets convenient notices from the framework, which analyzes sensor information in genuine
time and figures the probability of a collision utilizing modern flag preparation. Among its
highlights to decrease the likelihood of mischances are blind-spot areas and caution. To
certify the system's immovability and ampleness through a wide grouping of working
conditions, the progression handle joins wide testing and endorsement. All things
considered, the course 2 closeness watching system talks about basic progress in car
security advancement. A computer processor with the capacity to get and prepare both
wired and remote information streams makes up the administrator region component of a
vehicle nearness observing framework. By utilizing the actuated sensors, the vicinity
sensor can distinguish cars coming from behind. The framework was classified as
Exceptionally Satisfactory with a cruel score of 4.45 over key criteria, counting usefulness
(x̄ = 4.68), unwavering quality (x̄ = 4.40), workability (x̄= 4.53), productivity (x̄ = 4.17),
viability (x̄ = 4.48), and portability. The equipment assessments were exceptionally
positive. Generally, the model marks a noteworthy enhancement in vehicle observing
frameworks, viably combining shrewd innovations to extend driver contact and adjust to
an ever-changing development scene.
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