YOLO-bot

Smart camera application.

Promo

• Smart camera application. Add smart "vision" to your camera, connect what you "see" to Apple Shortcuts.

Description

• YOLObot uses advanced artificial intelligence (AI) to recognize the world around you and take action. YOLObot is a smart camera app that allows you to recognize everyday objects and quickly take common actions like dialing a phone number, looking up products barcodes, getting directions to an address, or even launching a fitness app to record what you're eating.

• The secret is YOLObot's ability to leverage CoreML to recognize over 500 objects, and linking the "smart camera" to Apple Shortcuts.

Keywords

• smart,camera,yolo,OCR,object,action,short,cut

v1.1

• ☑️ Add www feature
• ☑️ Add priority sorting of actions

v1.0

• ✅☑️ Add vision library for YOLO object identification
• ✅ Add stabalization check and ui
• ✅ Move to Snap chat UI
• ✅ Add training screen, need to include upload image & "other" item entry
• ✅ Add action table, include settings to select default behavior + Shortcut name
• ✅ Add text OCR features

Stucture

UI : Direct feedback of vision processing, predicted action shown at rest (ie,. action buttons)

• User quickly starts up app, should see real-time feedback on visual scanning (ie, both text rectangles and YOLO boxes).
• Stability indicators should show the focus and trigger second-level of recognition (ie., OCR within field of view, object specific action)
• Multi-level HUD includes a complex stack :
  1. Navigation buttons, Snapchat navigation methods
  2. Action buttons with detailed text / object recognition prompt (ie, "Launch Map App?")
  3. Text rectangle feeback, realtime (15fps?)
  4. YOLO object detection feedback, realtime (10 fps?)
  5. UPC/QR code feedback, only upon stability? (1 fps?)
  6. Camera preview, realtime (30 fps?)

Vision :

• Built in CoreML TextRectangle recognition is the highest priority
• Built in CoreVision ObjectTranslation (stability) is the second highest priority
• Google ML Kit based TextRecognition is medium priority
• CoreML based ObjectDection YOLO is lower priority

Recommendation :

• Could be CoreML based (table based prediction), but use heuristics for now
• Recommendation / recognition priority can be set by users in ActionViewController