Raspberry pi-based fruit calorie counting system using load sensor and computer vision : (Record no. 100691)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02547nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20261110111054.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 261110s2026 |||||||| |||| 00| 0 eng d |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | T ENG |
| Item number | A55 2026 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Aninon, Ken Levy F. |
| 245 10 - TITLE STATEMENT | |
| Title | Raspberry pi-based fruit calorie counting system using load sensor and computer vision : |
| Remainder of title | a developmental-comparative design project / |
| Statement of responsibility, etc. | Ken Levy F. Aninon, Julius Robert R. Cortes, Juan Miguel B. Manalo, and Raha C. Pullon. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | EAC Cavite : |
| Name of producer, publisher, distributor, manufacturer | School of Engineering, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2026. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 130 pages ; |
| Dimensions | 28 cm. |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Calorie tracking applications often rely on manual user input, and this can be tedious and prone to human error. Misinputs can make the whole process feel like a chore. Existing developed system also requires additional actions like shooting in different views or limitations on estimations based on height [1], [2]. To address this, this study aims to develop an automated calorie estimation system that can identify fruits and compute their calorie content without requiring text-based input from the user. The system uses a camera and the YOLOv11 algorithm to identify five common fruits, namely apples, bananas, oranges, strawberries, and kiwis. At the same time, a load cell connected to an Arduino Nano measures the fruit's weight, and calorie data is fetched from FoodData Central. Together, these components create a seamless, hands-free experience for the user. To test how well it actually works, the system was evaluated using a Developmental-Comparative research design. The fruit detection model achieved a 97% mAP, 98% precision, 94.5% recall, and a 96.2% F1 score. Calorie estimates were then compared against MyFitnessPal using paired sample t-tests. Results showed strong agreement for oranges, bananas, and strawberries, though apples and kiwis showed some differences worth noting. Overall, the system proved to be both reliable and fast, making it a genuinely useful tool for health-conscious individuals or for educational purposes. Looking ahead, the findings point toward meaningful improvements like improved sensor accuracy, a wider range of recognized fruits, and eventually, a fully offline version. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Relator code | author |
| Personal name | Cortes, Julius Robert R. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Relator code | author |
| Personal name | Manalo, Juan Miguel B. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Relator code | author |
| Personal name | Pullon, Raha C. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | THESIS |
| Call number prefix | EAC Cavite-Thesis Section |
| Suppress in OPAC | No |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | EAC Library Cavite | EAC Library Cavite | EAC Cavite-Thesis Section | 11/10/2026 | T ENG A55 2026 | ML-TH2834 | 11/10/2026 | 11/10/2026 | THESIS |