iOralCam
iOS Universel / Medecine
SmartPhone iOralCam App (Updated Version 1.2) in Detection Processing of Tooth Surfaces Using WiFi Intra-Oral Cameras
Tele-Optic Services, Queensland, Australia
Company Websites: https://tele-optic-service.wixsite.com/tele-optic-services
https://www.linkedin.com/pulse/organization-tele-optic-services
Websites for Manual Instructions: https://www.linkedin.com/pulse/sources-dental-information-ioralcam-tele-optic-services/
https://www.linkedin.com/pulse/smartphone-ioralcam-app-detection-processing-tooth-1c/
Youtube Website: https://www.youtube.com/watch?v=MdKCPpIkiyA
Contacting Email Address: tele-optic-service@outlook.com
iOralCam is a powerful smartphone App for dental professionals, designed for precise tooth surface diagnosis and image detection. It has to use WiFi intra-oral cameras, enabling wireless communication with your smartphone in capturing tooth-surfaces images.
This versatile app accommodates a wide range of WiFi intra-oral camera models, making it suitable for all dental diagnoses. For optimal results, we recommend cameras utilizing violet or blue LEDs (405-450 nm wavelengths) and an orange filter for enhanced signal-to-noise ratio, ideal for detecting bacteria-related issues such as dental caries, dental calculus, and dental plaque. Recommended models include G-Cam, Morita Penviewer, VistaCam, and SoproLife.
iOralCam offers a suite of features for comprehensive tooth surface analysis, including dental caries and dental plaque detection, tooth surface temperature measurement, and identification of tooth surface molecules like porphyrin derivatives and organic and inorganic components. In summary, this app is best suited for dentists using WiFi intra-oral cameras for tooth surface image processing.
Dental Disclaimer:
iOralCam App is not a substitute for professional dental advice, diagnosis, or treatment. It provides informational insights into bacterially contaminated dental lesions and tooth surface analysis. It is designed as an adjunct for dental professionals. Consult with a qualified dental professional for any dental concerns or decisions.
Key Citations:
1. Walsh LJ and Shakibaie F (2007). Ultraviolet-induced fluorescence:shedding new light on dental biofilms and dental caries. Australas Dent Prac 18(6): 56-60.
2. Shakibaie F and Walsh LJ (2015). Effect of oral fluids on dental caries detection by the VistaCam. Clin Exp Dent Res 1(2): 74-79.
3. Shakibaie F and Walsh LJ (2016). Violet and blue light-induced green fluorescence emissions from dental caries. Aust Dent J 61(4) :464-468.
4. Shakibaie F and Walsh LJ (2016). Violet and blue light-induced green fluorescence emissions from dental calculus: a new approach to dental diagnosis. Intern Dent – Australa Edit 11(4) :6-13.
5. Shakibaie F and Walsh LJ (2016). Dental calculus detection using the VistaCam. Clin Exp Dent Res 2(3) :226-229.
6. Shakibaie F and Walsh LJ (2019). Fluorescence imaging of dental restorations using the VistaCam intra-oral camera. Aust J Forensic Sci 51(1): 3-11.
Fully refereed conference proceedings:
1. Shakibaie F, Ha WN, Kahler B, Walsh LJ (2014). Deconvolution of the particle size distribution of mineral trioxide aggregate (MTA). IADR (ANZ) 54th Annual Scientific Meeting. 29th Sep–1st Oct, 2014; Brisbane, Australia.
2. Shakibaie F and Walsh LJ (2017). Application of VistaCam intra-oral camera in forensic odontology. Session 7-5: Forensic Odontology, BIT’s 4th International Congress of Forensics & Police Tech Expo-2017 (WCF-2017). 27th–29th Oct, 2017; Dalian, China.
3. Shakibaie F and Walsh LJ (2017). VistaCam intra-oral camera as an adjunct to DNA testing in forensics. Theme 705: New Achievements of Forensic, BIT’s 8th World Gene Convention-2016 (WGC-2016). 13th–15th Nov, 2017; Macao, China
Elevate your dental diagnosis with iOralCam - The Future of Dentistry.
Quoi de neuf dans la dernière version ?
Molecular Analysis: We've introduced a user-friendly Boolean language for molecular analysis. Now, instead of 1 or 0, you can easily tap to choose "Yes" or "No" for the presence of specific molecules, enhancing clarity and convenience.
Enhanced Image Processing: Our C++ file has been optimized with the introduction of "&&" instead of "&" for image processing. This change results in more accurate and precise colour mapping, providing a higher level of detail in images.
Improved Tap Functionality: We've resolved the issue with tapping on links for sources of information. Now, tapping on links will seamlessly redirect you to the relevant sources, ensuring a smoother and more informative experience.
