You’d be hard pressed to live without the Internet of Things (IoT) at this point. If you have a smart device — and by now, most people do — you use IoT every day. Your Apple Watch sends texts, makes calls, and even tracks your health stats. Amazon Echo plays your favorite playlist while you work. Your Google Nest thermostat keeps your home or office comfortable and lowers your energy bill. Now, we’ve reached a point where AIoT — or the Artificial Intelligence of Things — can enhance the world of IoT.
FaceMe® uses AIoT to offer more security and accuracy than other facial recognition software. With a smarter, more efficient setup, it accurately detects faces right down to reading emotions. It protects your business, no matter your industry, and its higher processing power makes it able to learn as you use it.
The Internet of Things, or IoT, includes smart devices that connect to the internet. They have sensors, software, processing capabilities, and can communicate with each other through the internet.
It goes beyond phones — people use IoT in appliances and electronics, like refrigerators and TVs, and across industries such as healthcare, retail, transportation, and manufacturing. IoT has even created Smart Cities that use collected data and technology to serve the people living there.
Artificial Intelligence of Things, or AIoT, takes things a few steps further by using AI to increase efficiency, raise processing power, and react faster to changing conditions without needing so much human intervention. It also uses machine learning to process data and work alongside IoT to serve you better. AIoT has already helped people manufacture robotics, build autonomous vehicles, and automate processes to create safer, more intelligent systems.
AIoT uses the edge-based facial recognition solutions found in IoT devices, minus the cloud processing requirements. This makes it possible to create and improve smart locks, point-of-sale (POS) systems, interactive kiosks, digital signage, and mobile phone capabilities. By adding AI technology, we can upgrade IoT devices using features like AI vision that allows devices to recognize your face as part of device security.
Edge-based facial recognition AIoT solutions, such as FaceMe®, combine speed, security, and accuracy. It can even simulate emotions in devices, like LOVOT by GROOVE X, a smart family robot made in Japan. The robot uses the FaceMe® SDK to recognize and remember people using a camera on its head. AIoT allows LOVOT to view and recognize faces from different angles and distances while creating a more natural interaction with the robot.
AIoT increases IoT precision, especially when it comes down to detecting fine details in your facial features or expressions. Plus, since AIoT doesn’t need cloud processing, you get a more secure system that reduces costs to you. These solutions work across hardware, platforms, and programs to create a cohesive network, and many device manufacturers quickly optimize their technologies to make them compatible with AIoT.
Read more: Building AIoT Devices for Facial Recognition.
AIoT can transform your business processes, security, and analysis capabilities, no matter your industry. Let’s look at some of the most practical applications for AIoT for your business and how it can benefit you.
One of the most common use cases for AIoT is access control. Facial recognition can transform access control with more convenient and secure options for commercial facilities and residential complexes. This technology enables more precise, instantaneous identification along with contactless access for authorized individuals.
AIoT systems send you alerts if it detects intruders or block-listed people trying to access your business. It also allows you to keep a closer eye on a variety of outlets and technology, including smart locks on doors and cabinets, mobile devices, and equipment logins to ensure that only those with the appropriate permissions have access.
Facial recognition solutions can reduce attendance errors, eliminate the risk of employees sharing access cards, and monitor your business for unauthorized entry attempts. It can also support access control for specific locations within your office or facility, including labs and bank vaults. You can also instruct access control systems that use AIoT to use facial recognition to unlock facilities for approved employees during specific work hours.
Using biometric face identification to log employee time and attendance leads to improve accuracy, fewer errors, and better transparency. It also works to log student attendance in schools to ensure accuracy in attendance records. Logsafe added FaceMe® facial recognition to their human resources management system, and teachers across India have used it to scan several student faces at once to take attendance in seconds.
FaceMe® provides identity verification, attendance management, access control, security alerts, and AI smart monitoring. Its accuracy rate of 99.83% gives you peace of mind when it comes to your business, so you know it logs the correct information, even when analyzing several faces at once.
Curious about using facial recognition for time and attendance systems?
Along with office facilities, access control and identity verification with AIoT protects factories, too. Factory employees must maintain a high level of safety, and removing personal protective equipment can put them at risk for illness or injury in the workplace. AIoT systems like FaceMe® can still recognize employees’ faces while they wear helmets, goggles, masks, and other protective gear to keep them safe.
Toyota Motor Corporation adopted a vehicle inspection information system that integrates FaceMe® to provide high-speed and precise facial recognition to ensure only certified inspectors can inspect finished vehicles. Integrating touchless, highly accurate face authentication improves productivity without requiring inspectors to remove safety gear and masks.
The integration of FaceMe® in such scenarios is made easy with the FaceMe® SDK, a cross-platform facial recognition engine that is uniquely positioned to integrate edge-based AI facial recognition into a wide range of IoT and AIoT solutions.
Find out more about our premier facial recognition security solutions.
Healthcare facilities that distribute medicine can use smart medicine cabinets that integrate FaceMe® facial recognition to ensure only authorized personnel have access. Using traditional methods of accessing medication in a hospital, pharmacy, or other medical setting can put both patients at risk of receiving the wrong medication due to unauthorized access. It can also make necessary supplies inaccessible to authorized staff, if no one with the correct key or passcode can grant them access.
Now that iMedtac has implemented FaceMe® into its prescription distribution system, the medicine cabinet is synchronized to the staff schedule to ensure pharmacists are authorized for access at that specific time and day. The integration of facial recognition improves the quality in smart healthcare by providing streamlined, frictionless access to controlled substances and ensuring that only authorized individuals have permission to access them.
Read more about using facial recognition for health and safety applications.
In the retail industry, AIoT alters how we shop and build relationships between retailers and consumers. When used in advertising, such as digital signage, it can engage with customers and help businesses understand what consumers want.
Modern signage embedded with facial recognition technology can display media content curated to keep customers engaged. Below are some of the benefits of integrating facial recognition in retail environments:
Retailers can leverage AIoT devices with facial recognition for data analysis. It can detect the genders and age ranges of visitors, number of visitors per day, and peak shopping hours to give businesses more data about how to cater to their audiences. Facial recognition technology can capture patterns related to this data and use AI to perform customer analysis. Retailers can then arrange their stores to encourage more positive experiences with products and the store itself.
As financial and fintech industries continue to evolve, we find the integration of AIoT and facial recognition becoming a necessity, not just a feature. Facial recognition provides the most accurate, secure, and convenient form of two-factor authentication for opening bank accounts, applying for credit, conducting ATM transactions, mobile banking, insurance purchases, and remote customer service.
Financial service companies have always strived to maintain healthy relationships with customers, but with facial recognition technology it is now possible to electronically Know Your Customer (eKYC). This has resulted in improved online banking security and a new way to conduct financial transactions.
One crucial aspect of this transition is the development and implementation of anti-spoofing technology — an area where FaceMe® excels, having passed the stringent independent ISO Presentation Attack Detection (PAD) iBeta Level 2 anti-spoofing tests. FaceMe® also has deepfake detection to prevent unauthorized access using AI-generated images and keep financial accounts and assets secure.
Read more: Read our companion article on eKYC.
FaceMe®’s edge-based facial recognition solution is easy to integrate across a wide range of devices, supporting the most comprehensive chipsets and OS’. The highly accurate AI engine is ranked one of the best in the NIST Face Recognition Technology Evaluation (FRTE) with an accuracy rate of 99.83% and a less than 1 in a million false recognition rate. FaceMe® can be deployed across a wide range of scenarios, including security, access control, public safety, smart banking, smart retail, smart city, and home protection.
FaceMe® Platform is an easy-to-use, on-premises facial recognition solution that consists of central services (console), APIs, and system services. It allows you to implement facial recognition for various industries to upgrade your access control systems to give them stronger security and give you more control over who accesses them and when. Its robust tools detect faces and patterns, confirm someone’s identity, provide anti-spoofing to protect against fraud, and group people based on department for more efficiency. It also has a management console and testing capabilities, so you can maintain your system and ensure it continues to function optimally.
FaceMe® SDK provides a more customer-facing option that you can integrate with your IoT devices and AIoT systems. It works with mobile devices, kiosks, digital signs, and more. Like FaceMe® Platform, it offers face recognition and anti-spoofing, while also detecting information about certain customer demographics and recognizing faces with masks with 98.21% accuracy.
For an in-depth look at other use cases, view our Top 5 Use Cases in 2025.
Facial recognition makes AIoT solutions safer, smarter, and more human. However, there are barriers to reaping its full potential. Some of these barriers are physical, such as hardware. Others are societal, including privacy and data security concerns.
When considering physical barriers, it is important to remember that there is no one-size-fits-all approach. Businesses have varying needs and budgets, and the best facial recognition solutions can be scaled up or down to suit their specific needs and use cases.
It is also important to ensure physical environments are conducive to facial recognition technology. This means paying attention to factors that can affect accuracy, such as lighting, camera position, and lens cleanliness.
In terms of societal barriers, facial recognition has been viewed as a privacy concern. This does not mean the technology should be abandoned. Rather, we need to clarify exactly how facial recognition works and ensure ethical regulations are in place. To help allay privacy concerns, FaceMe® has introduced active facial recognition which requires user consent — for example, in the form of a head nod — for identity verification to occur.
Read more: Solving the Data Privacy Concerns with Facial Recognition is Easier Than You Think.
For a full overview of facial recognition, how it works and how it can be deployed, remember to read Edge-based Facial Recognition - The Ultimate Guide.
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