The idea of checkout-free shopping in venues crystalized as Amazon Go, Tesco, Walmart, and many more. The idea of using fully-automated checkout with computer vision is a successful example of retail automation. But, a few store owners want to build a whole new outlet to run their business offline. As it requires an integrated software infrastructure, as well as imposes development and financial challenges. In this episode, we’ll analyze how any brick-and-mortar store can be automated with computer vision systems. The overview is based on the experience of MobiDev's experts.
The article on this topic is available at:
https://mobidev.biz/blog/how-to-implement-ai-self-checkout-in-retail-if-you-are-not-amazon
00:21 MobiDev, a software development company
00:52 Intro
02:20 Automated Self Checkout Technologies
03:18 Complications with Facial Recognition
04:30 «Who took what» problem
05:03 Human Pose Estimation for Amazon
05:37 Distinguish fairly similar products
06:10 Computer Vision for smaller retailers
07:56 Computer Vision for foodservice
09:08 AI-based checkout - requirements to consider
10:58 Data collection recommendations
11:50 Training the model
12:48 Model retraining
13:29 Required infrastructure
14:25 Privacy restrictions
15:06 Conclusion
MobiDev is an international software engineering company with headquarters in US and UK and R&D centers in Poland and Ukraine. The company is focused on helping visionaries create their products. MobiDev invests in technology research and has years of experience building AI-powered solutions, and implementing machine learning, augmented reality, and IoT.
