"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

April 16, 2022

Vision Use cases - Self Checkout

Product - Mashgin

  • Detect, Identify and Pay
  • Came Angle - Top View
  • Extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images.
Self Checkout Vendors List1, List2

Product - Zippin

  • Scan from your Phone
  • Overhead Camera
  • Shelf Level Sensors
  • Billing based on RFID / Other methods Tags 
How it works - Link
  • Overhead cameras follow customers' movements as they move around the store—without using face recognition - Maybe Phone Signals
  • Cameras and smart shelf sensors track when and which products are picked up or put back. - Weight sensors
  • Combining these two inputs allows Zippin to place the right items in the right shoppers' virtual carts. - Phone + Shelf Activity
  • On leaving the store, customers receive a receipt detailing their charges. Watch this video to see Zippin in action.
My Feedback - It is a combination of Tech, It could be weight sensors + RFID + Vision. One key takeaway is to look at each tech as a complementary tech. I usually see only Vision-based / RFID-based. True value comes not by replacing one with another but by bringing and leveraging the best out of all tech.

Keep Exploring!!!

No comments: