Smart homes and appliances empower homeowners to remotely control and program appliances. They wouldn't be so "smart" without high-quality labeled data.
Ever wondered how smart homes earn that title when some AI-enhanced security systems identify your neighbor's cat as a security threat? It's either because you live next door to the zoo — or it’s the result of inferior computer vision data labeling.
Smart homes empower homeowners to remotely control and program various systems and appliances, either from within their homes or via the internet.The list of “smart appliances” is constantly growing and includes everything from TVs, lights, and laundry machines to fridges, ovens, security systems, and beyond. These appliances are interconnected and exchange data via central systems — otherwise known as theInternet of Things — and can be programmed to respond to sensors detecting input such as movement, light levels, or temperature. While the smart home might seem like a product of the internet era, the buzz around them began as far back as the 1930s when local fairs featured automatized home appliances. The American Association of Home Builders coined the term “smart home” in 1984, yet the first connected home appliance — a toaster — didn't hit the market until 1990.Fast forward to today, and around 43% of US households report owning at least one smart home device, up 30% from 2019. Consumers have more options than ever to interact with appliances from every room in their house, from their laundry rooms and kitchens to their entertainment centers. Let’s take a walk through a modern smart home to see some of the latest smart appliance trends — and the data labeling challenges that come with them.
If doing the laundry is your least favorite chore, companies such as Whirlpool are manufacturing devices to iron out the process. Their smart devices enable you to operate your machines remotely — even from, say, the grocery store — so you can kill two chores with one phone.And for those times you’ve got your hands full (literally), smart device compatibility enables you to ask your Alexa or Google device to start the load for you. Some models even contain sensors that can identify fabric type, load size, and soil level — and automatically adjust settings accordingly.
Advances in computer vision and machine learning have enabled companies like Samsung and GE to patent and manufacture smart ovens and refrigerators. These appliances enable homeowners to see inside their fridges from their smartphones to help with grocery shopping and meal planning.The technology will evolve to include features to identify food spoilage and automated, permission-based food ordering. Some futurists even predict that smart toilets will someday make dietary recommendations based on your fecal matter…
Thanks to accessible home security systems and video doorbells, anyone can easily differentiate between a burglar and their son getting home from school.Many home comfort, security, and lighting systems have been enhanced with facial recognition technology, motion sensors, and fingerprint scanners for locking doors when your family members don't have a key.Some predict that in the near future, personal drones will continuously hover around your house for exterior home security.
While the smart homes of the future sure paint a rosy picture of a leisurely and safe weekend at home, none of this is possible without high-quality labeled data.Manufacturers must ensure their products deliver accurate insights to compel consumers to invest in smart home appliances and systems. In other words, your smart fridge needs to be more performant than checking yourself if you’re out of eggs.For smart home appliances that leverage computer vision to “see” the world, many of the same data labeling challenges can arise:
The insights that smart home appliances of the future will need to deliver are more than the human eye can capture. High-quality labeled training data is essential to the future of computer vision-enhanced intelligent appliances.