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Smart Shopping Assistants

Smart Shopping Assistants are changing the way we
shop by using Computer Vision (CV) technology to
make shopping easier and faster. Retailers use CV to

help with many tasks, like identifying products on
shelves, keeping track of stock, and letting customers
check out without needing a cashier. This technology

is improving both how customers shop and how
stores manage their products, making the shopping
experience quicker, more convenient, and more personal.

Gaming (Augmented Reality)
Through the player’s camera, games like Pokémon Go

utilise computer vision to allow virtual objects to appear
and move in the real world.

Traffic Management
Computer vision in smart cameras monitors roads,

counts vehicles, helps control traffic flow, and detects
accidents or rule violations more effectively.

Brainy Fact

Google Translate was first released in April 2006 and originally used statistical
machine translation (SMT) before switching to AI-powered neural translation (NMT)
in 2016 for better accuracy.

Activity Recognition in Health Apps
Hello, Jack
Welcome to How do you feel today? Calories Time
Fitness app! Mon Thu wed Thrs Fri Sa 1,132 kcal 641 min
Fitness or health apps utilise Computer Vision to recognise
15 16 17 18 19 20
Walk
Sleep 8.0hour
3214
Step human activities by analysing video or image data. This
Water
Protein Fat Net Carbs
Heart rate 1,6liters 40,5 g 18 g 71 g
technology enables automated tracking of physical
90bpm Split squat
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adipiscing elit, sed do eiusmod.
18%
Cycling 40min activities such as walking, running, or specific exercises, as
Bodyweight
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adipiscing elit, sed do eiusmod.
Start! Eaten 750kcal Yoga 25min 68%
well as detecting falls in the case of senior citizens.
Computer Vision and Its Applications 61