Rscope
1+
Downloads
Everyone
info
About this app
ML powered Object Detector and Analyzer Showcase app via external camera i.e. endoscope, borescope and web cameras
Rscope is the complementary to Rsight app of NIlearning for external USB camera.
Rscope utilizes SSD MobileNetV1 pre-trained model hosted on https://tfhub.dev/.
How to use Detector for better performance (simple user guide)?
- To detect and analyze a medium connect UVC compliant external camera (Web Camera, USB Camera, endoscope etc.) via OTG to you phone.
- Point the external camera onto the object with clear background.
- To display objects in your preferred language in 1 of 4 languages (English, Russian, Spanish, Chinese) simply choose from Preferences.
- For high accurate results change the percentage of threshold confidence level from Preferences.
- In list window you can analyze detected objects by searching, displaying the highest confidence for each class, delete by swipe or erase.
Endoscope icon obtained from:
Medical instrument icons created by Freepik - Flaticon
Rscope is the complementary to Rsight app of NIlearning for external USB camera.
Rscope utilizes SSD MobileNetV1 pre-trained model hosted on https://tfhub.dev/.
How to use Detector for better performance (simple user guide)?
- To detect and analyze a medium connect UVC compliant external camera (Web Camera, USB Camera, endoscope etc.) via OTG to you phone.
- Point the external camera onto the object with clear background.
- To display objects in your preferred language in 1 of 4 languages (English, Russian, Spanish, Chinese) simply choose from Preferences.
- For high accurate results change the percentage of threshold confidence level from Preferences.
- In list window you can analyze detected objects by searching, displaying the highest confidence for each class, delete by swipe or erase.
Endoscope icon obtained from:
Medical instrument icons created by Freepik - Flaticon
Updated on
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No data shared with third parties
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No data collected
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What’s new
1st release
App support
About the developer
Nepes Durdyyev
nilearning222@gmail.com
Mekan village council, Mekan village, Bitaraplyk street.
33
Lebap region, Hojambaz district. 746150
Turkmenistan
