Yealink, a global leading unified communications (UC) solution provider, has launched its new Microsoft Teams Rooms (MTR) solutions: Yealink's 3rd-Gen MVC Series Microsoft Teams Rooms System, as the first to collaborate with Microsoft in integrating AI technologies like voice control, identity recognition, and transcription into video conferencing.

The new solutions offer smart features for a more equitable video conferencing experience and flexible installation for various meeting environments, from standard rooms to boardrooms, training spaces, and divisible rooms. Elevate MTR journey with unmatched intelligence and versatility.

Empowering Meetings with AI

In 2023, hybrid work adoption has surged by 28.2% globally, as reported by Forbes. McKinsey's data underscores AI's potential to amplify efficiency, potentially saving 70% of work time. Driven by AI technology, Yealink's latest MTR solutions elevate collaboration to a whole new level of equity. With Copilot Integration, voice commands initiate and end the meetings, freeing participants' hands. Voice and facial recognition identifies and displays participant names in meetings and on real-time transcriptions. Whether through Multi-Stream People Feed (for regular meeting rooms) or Multi-Camera Intelliframe (for larger spaces), the system adeptly tracks the latest four active speakers, promoting seamless and natural conversations.

Enabling Meetings with Flexibility

Yealink's new MTR solutions offer flexible deployment for different application requirements. In terms of audio, various options are available, including wired, wireless, and ceiling microphones, tailored to users’ specific needs. For screen-sharing, not only are wired connections like HDMI or USB-C supported, but the solutions also accommodate wireless sharing through Miracast, AirPlay, Google Cast, and Yealink's WPP30 wireless presentation pod, catering to versatile screen sharing requirements. As for display, the entire series comes with the MCore Pro mini-PC, which features built-in EDID recognition for different display resolutions, eliminating the need for additional connectors and ensuring optimal display quality.

Diverse Pro-AV Solutions

In large enterprises, the complexity of meeting room setups necessitates the integration of a range of audiovisual devices such as lighting, sound systems, video conferencing, and digital signage. This creates a need for a more professional, high-end, and even customized comprehensive solution, commonly referred to as a Pro-AV solution (Professional Audiovisual solution). Building on significant investments in Pro-AV field, Yealink's new MTR solutions offer a multi-camera setup for large meeting environments, supporting the simultaneous use of multiple cameras to capture diverse perspectives during discussion. Additionally, they boast broad compatibility with well-known third-party audio and control solutions, including Biamp, Kramer, AMX, and Q-SYS, amplifying the versatility and potential of users' meeting room experiences.

Yealink's new MTR solutions bring enhanced equity and adaptability to every room. As we look to the next two years, Yealink will further integrate AI technologies into video conferencing, including advanced facial perspectives and spatial audio. The goal is to heighten the immersive quality of remote meetings and boost communication efficiency for businesses.

Explore more about the new MTR solutions demo room here to experience intelligent and flexible Teams meetings.

For many years, the AV/IT industry has been using artificial intelligence (AI) to develop products and solutions. Control and automation companies designed drag-and-drop room configurators that eliminated programming, with sensors placed in rooms that, when triggered, turn on the lights, set the HVAC, and launch a presentation. Today, many are delivering intelligent touchless environments using AI and facial detection.

We can often look toward consumer electronics trends to predict technologies that will emerge in the enterprise and other commercial markets. Some kernels of the near-future could be gleaned from a virtual conference session held during CES 2021, between New York Times columnist and author Thomas Friedman and renowned artificial intelligence (AI) expert, president and CEO of Mobileye, Amnon Shashua. Together, they discussed fundamental questions related to the ethics and values governing today's technology, the challenges facing a rapid pace of change and automation, and solutions for maximizing opportunities in a world that is fast, fused, and deep.

Shashua explained that AI is narrow; it is software that is optimized to solve a single problem. "What Mobileye is doing is all about pattern recognition; cameras and other sensors understanding the visual world and then using that interpretation to drive decisions to do self-driving."

Shashua declared AI as the frontier of yesterday. "The next frontier is language," he said. This is where artificial general intelligence (AGI) comes in. An example would be software that can read and comprehend text to a degree that a person can have a conversation with the computer. "Once a computer can do that, it means it can understand context, understands common sense, understands temporal dimension," Shashua said. Taking that to the next step, the computer can also write a story. "If you summarize the main ideas, then you can let the computer write everything, and you can interact with the computer and refine it," he said.

Because of huge leaps in the progress of language comprehension, Shashua predicts that within the next two to five years, we will see computers understanding comprehension tests. "If you have more and more compute, and more and more data, you can do things that a few years ago would be considered science fiction," he said.

Relating

Mark Peterson, a principal at Shen Milsom & Wilke (SM&W), has had his eye on AI and AGI as it applies to the AV/IT industry. "AGI is the litmus test of being able to think, and be able to ask questions and then make responses without having it be pre-programmed and predetermined," he said. Computers are at another stage of intelligence. "Recently, we saw the announcement that Alexa now has the ability to anticipate when people want their lights shut off: whether they say the command or not, it will draw a conclusion based upon preexisting conditions," Peterson said.

When clients ask SM&W for the latest in smart building technologies, Peterson emphasized that it still begins with usage scenarios, no matter how advanced. "I create a narrative,” he said. “'When I walk into the room, what do I want to do?' The usage scenario narrative describes the automation process. And that starts to put people in the mindset of visualizing and understanding kind of where the automation can help them.”

Facial detection has been used in the security industry for a while, but companies are embedding that technology into more products, such as building entry kiosks, since the pandemic. In these cases, the person entering the building has "opted-in" and knows their facial profile is being used for their benefit. "I want to be able to have a frictionless experience entering the building and going upstairs,” Peterson said. “So, therefore, I want it to be able to help people recognize me.”

With facial detection and other technologies that are collecting more personal data, Peterson cautions, "There should be foundational rules, and we should be able to apply them."

Automating Intelligence

From automated and intelligent presenter tracking embedded into video cameras, to displays providing data on the number of people entering a building, or facial detection providing data such as sentiment, to audio solutions with automatic dynamic beamforming technology, to handwriting recognition, there's no shortage of innovative AV/IT solutions being brought to market every day.

The pandemic has increased the awareness of screens that capture data, such as people's temperature, as they enter a building. Rich Ventura, vice president of B2B at Sony Electronics Professional Solutions Americas, said, "I'm sure the individuals at World Privacy Forum and some of the other privacy groups are going to disagree with what I say here. But I'm hoping we're at the point that people realize that tools like this become very valuable and can help you."

In 2019, Sony Pro introduced a device called the Edge Analytics Appliance engineered with AI technology. "It is designed to do everything from following a presenter as they're speaking with audio tracking, to handwriting extraction so the audience can see the content being written on the board, and REA-C1000 technology that can detect and react to gestures from audience members," Ventura said.  

"These types of devices are an area where I see more and more organizations spending and investing money," he added. "They minimize the number of staff needed to run a presentation, as well as have the ability to share content."

Recognition

For more than 10 years, Intel has been invested in computer vision, enabling partner companies to build devices in the digital display space. "Our product is collecting data, analyzing it very quickly in an ASIC, and then being able to contribute it to very exciting developments with machine learning, artificial intelligence," said Joel Hagberg, head of product management and marketing for Intel RealSense at Intel. "You can truly utilize computer vision to improve the performance of interaction, of products to make the world safer, more productive, and make it a more immersive environment."

Intel announced its Intel RealSense Touchless Control Software (TCS) in January, a cost-effective solution that will transform a touch-based system to touchless. "You don't need to replace your components; you're just mounting a camera, loading our software, and it's a plug-and-play change for those kiosk manufacturers," Hagberg said. "With the Intel ASIC doing the vision processing, "we've been able to take our Intel RealSense Depth Camera D435 with the TCS software and provide a seamless conversion from touch to touchless."

Answering the need for touchless access control, Intel also launched Intel RealSense ID, a secure facial authentication device. "There has been a significant spike in interest in the facial authentication space to move away from punching in codes with fingers," Hagberg said.

Intel takes privacy very seriously. Intel RealSense ID is not a surveillance camera and does not randomly scan faces. "It does not do a facial scan and store an image," Hagberg said. "We're not storing your facial image as a biometric; we're storing facial landmark as the biometric signature." The device is attention aware, meaning an enrolled user is aware they are being authenticated.

"There's a lot of intelligence that we're gathering, so our feeling is that if you can enable a robot, a computer, to become aware of its surroundings, we're making a truly smart device that can see and understand and interact and make decisions," Hagberg added.

"In the AV world, there are a lot of opportunities to be able to use the digital signage or voice devices to pull information,” Hagberg said. “We're giving the computer system the ability to get that visual data. I think it's a perfect platform for artificial intelligence and machine learning applications to be able to take the data, analyze it, and make it a safer environment, a more productive environment, or a more immersive experience for customers."

Connecting the Vectors

According to Christopher Jaynes, founder and CTO of Mersive, "If you look at how people assume technology will emerge, often they don't think about the ubiquitous infrastructural implications." Using automated cars as an example, "you think about, 'How would I build a smart car?'" Jaynes points out that the evolution is a combination of the car plus a smart infrastructure that's talking to it.

Supportive assistance in the workplace and education is where Jaynes is focusing his attention. "We have 190,000 rooms worldwide already with little boxes that are very, very smart. And when I walk into the room, I have a mobile device. So, when I say ‘assistant,’ I don't think of my assistant talking to me. The infrastructure itself is looking for ways to help my day get better."

For nearly two years, Mersive has been collecting meeting ratings from users. A random set of questions is asked to glean information about productivity, engagement, or sentiment. "It's not about the tech; it's the outcome," Jaynes said. "Those words are vectors into all the data we've collected for an AI to mine."

With this information, an employee who does not need a high level of productivity can ask, "Where are my most enjoyable meetings?" The assistant would direct the employee to the ideal available meeting space.

"So that, I think, is a big role of AI," Jaynes said. "This idea of assisting you through your day in ways that the AI itself knows based on the current status of where you are, what you need to get done, and where the infrastructure can support those needs through pattern recognition. That's coming real soon. That's a big deal."

Vivotek, a leading IP surveillance solution provider, will feature its new FT9361-R facial recognition tablet during ISC West 2022 (Booth 22015) later this month in Las Vegas, NV.

“The FT9361-R is a facial recognition tablet for access control and employee management,” explained David Liu, president of Vivotek USA. “By simply presenting your face to the facial recognition tablet, true contactless and hands-free access control is achieved. The FT9361-R's deep learning AI technology can precisely detect a real, living/breathing person from that of a high definition photo. With a focus on high accuracy, high security, and group (list) management, the FT9361-R is especially effective for healthcare, data centers, laboratories, and other confidential industries and situations.”

Each FT9361-R face recognition tablet can store up to 50,000 facial profiles, so operators do not need to worry about the insufficient capacity to cover all the people in and out. Through the facial database, administrators can categorize profiles into different groups, such as blacklist, VIP, staff, etc., and grant varied credentials to each group.

[Vivotek Rebrand Encompasses IP Surveillance, IoT Technologies]

“FT9361-R integration with an access control system can detect facial profiles 30-150 cm in front of the tablet, and match the characteristics with profiles in the database,” Liu continued. “When mapping checked, the access control system would command open or close of an entry point. Therefore, true hand-free access control can achieve effortlessly.”

Facial images are captured and verified in real time with biometric authentication. Furthermore, deep learning analytics can accurately verify a person’s identity even through makeup, beards, hats, glasses, or surgical masks, providing 99 percent accurate authentication for a safe and secure environment. 

Facial recognition uses biometric credentials that cannot be transferred to others, thus greatly reducing the risk of fraudulent access or "buddy punching" for employees clocking in. Going a step further, FT9361-R phases in dual accreditation functionality, integrating facial recognition and card reader altogether. Employees meeting both the verification of facial recognition and card reading can pass through, facilitating security to a higher level.

The movement toward high-tech solutions to engage guests and customers has greatly increased in the hospitality industry and has especially accelerated over the past year as hospitality enterprises implemented health safety protocols to address distancing guidelines. As a result, the implementation of property-wide technologies using personal identifiable information (PII) has presented a challenge to hospitality organizations, who must make sure the data is carefully controlled so it can be used to meaningfully improve guest services but remain safe from malicious cyber activity.

Hospitality Financial and Technology Professionals (HFTP) has organized the Global Hospitality PII Management (GHPM) Task Force, whose members, all prominent hospitality technology experts, are tasked with thoughtfully examining and developing guidelines for hospitality companies to follow as best practice. The information presented will have an international perspective, with participants representing countries across the globe. This is especially important as data privacy regulations vary internationally and will be an essential consideration in the development of the resource.

[Related: Disney World Tests Facial Recognition]

“By the nature of today’s technologies, companies now collect vast amounts of personal data to assist in providing seamless and personalized services to their customers. Artificial intelligence, facial recognition, and other future technologies will change the way the entire world operates,” said HFTP global president Mark Pate Sr., assistant controller and IT director for Highpointe Hotel Corp. Noting that the guidelines are “developed by experts specifically knowledgeable about the hospitality space,” Pate added that their goal for the guidelines and directives “is to stay focused on the data issue and assist with solutions to challenges the industry is facing today and into the future.”

The GHPM Task Force includes a wide variety of prominent hospitality professionals from around the globe and is chaired by Michael Levie, co-founder of CitizenM Hotels.

Because the panel of experts will represent the global hospitality industry and the resulting resource will be published as guidance for the global hospitality industry, HFTP has left positions open for additional volunteers. The selection of individuals to fill these spots will be done by the entire task force. To submit your interest in volunteering, visit the task force web page.

Walt Disney World Resort is conducting a 30-day test of facial recognition technology to improve the guest experience.

The technology captures an image of the visitor's face and then converts the image into a unique number that is then associated with the form of admission the guest used for park entry.

[Privacy and Digital Signage]

“At Walt Disney World Resort, we’re always looking for innovative and convenient ways to improve our guests’ experience—especially as we navigate the impact of COVID-19. With the future in mind and the shift in focus to more touchless experiences, we’re conducting a limited 30-day test using facial recognition technology,” said a statement on the park's website.

On its website, Disney also says that the process is optional and that the length of the test—currently scheduled through April 23—is subject to change.

According to Walt Disney World, it is a three-step process:

Step 1: Enter the Facial Recognition Technology Test Lane

When guests are ready to enter the park, they enter the lane designated for the test program.

Step 2: Remove Accessories, But Keep Mask in Place

Guests are asked to remove hats, visors, sunglasses, etc. before entering the testing zone; they are required to keep on their mask/face covering the entire time. 

Step 3: Face the Camera

Once in the facial recognition test zone, guests will stand facing the camera and then position their park admission or MagicBand close to the scanner to activate the technology. The technology will capture an image, which will be converted into a unique number that will be associated with their ticket media.

[Facial Recognition: What You Need to Know]

Walt Disney World noted that all unique numbers captured during the test will be discarded within 30 days of its conclusion and that the images and unique numbers will not be shared with third parties. 

The park also stated on its website that "the security, integrity, and confidentiality of your information are extremely important to us. We have implemented technical, administrative, and physical security measures that are designed to protect guest information from unauthorized access, disclosure, use, and modification. Please be aware that, despite our best efforts, no security measures are perfect or impenetrable."

The What: DVDO announced a newly expanded product portfolio to meet current market demands. The line of cameras, facial/thermal recognition solutions, video switchers and processors feature advanced technologies to provide professional quality video from multiple sources, and across a wide range of displays. They are in stock and available to ship.

The What Else: The expanded range includes three camera options. Starting with a 1080P version with ultra-wide angle, the range extends up to an HD PTZ camera with intelligent tracking, HDMI and IP connections, and AAC audio encoding. All camera kits come with all the controls, cords, and mounting hardware to be fully operational within minutes.

Facial and thermal recognition solutions ship with all hardware and software needed for easy installation. The solution is industrial grade—with a waterproof and dustproof design—supports 30,000 face database recognition with a mask off/on, as well as various peripheral expansions like IC card reader or fingerprint reader.

The Bottom Line: In addition to cameras and facial recognition, AV product expansions include new options for robust KVM extenders and switchers that will cover virtually any setting, including fiber, compressed or uncompressed signals, USB, HDMI, and more. DVDO has also added AVoIP devices, controllers, accessories and whole-room solutions for education and conferencing environments.

Imagine you’re at a networking event. You see someone heading your way with a big smile on his face … you know the face but can’t seem to remember the name. In a nutshell, being able to associate the name with the face is the core of facial recognition, which is growing in popularity in pro AV markets.

Detection versus Recognition: What’s the Difference?

Many people use the terms “facial recognition” and “facial detection” interchangeably, but there is a world of difference between the two.

“Facial detection is a very broad-based term that is used when a system is able to identify that a human face is present, whereas facial recognition actually confirms identifying features or an identity and allows us to identify that person and deliver personalized media or services,” said Maris Ensing, vice president and chief engineer, Mad Systems.

“Each technology has its purpose,” added Diane Carlson, vice president, digital innovation solutions, Samsung SDS America. “For example, facial recognition technology is used by law enforcement to identify criminals. Privacy is sacrificed for the greater good.”

To alleviate privacy concerns, many pro AV solutions, including Samsung’s Nexshop, are designed specifically for facial detection. “At Samsung SDS, we use facial analysis in our solutions,” said Carlson. “Our intent is to approximate gender, age, and sentiment to better target marketing messages—no personal information is collected or stored.”

Scroll through the gallery below to see the latest facial recognition products for pro AV.

Privacy Laws

With privacy laws and regulations being continually updated, what do integrators need to be concerned about, and how do they stay informed?

“They [integrators] shouldn’t be concerned about facial detection, but they should be educated on the differences between detection and recognition, and be able to articulate [the information] to their customer,” said Kelly Harlin, analytics platform strategist at NEC Display. “In fact, NEC Display is leading the charge when it comes to customer privacy and security. NEC ALP is completely GDPR compliant, and integrators can be confident when installing the platform that NEC is constantly working to stay ahead of legislation.”

Ensing, however, strongly believes integrators should be familiar with privacy laws and regulations across the board, even when it comes to facial detection. He says there are seven principles of privacy: consent, use, transparency, data security, privacy design, integrity, and accountability.v

“There are a great many applications already using this technology—biometrics for unlocking your phone, surveillance in stadiums, banks, airports, and retail,” he continued. “These privacy principles should be part of the design process and thoroughly mapped out with the client by the integrator.”

According to Ensing, Mad Systems designed its system with privacy concerns in mind. “Our system does not need to be internet-connected, and it uses encrypted vectors to identify significant aspects of the face,” he said. “We don’t even need to keep images—the encrypted vectors are enough. Even if you manage to crack the encryption, you cannot re-create an image of someone’s face from these vectors.”

Where is the industry headed from a legal standpoint? “As far as facial recognition is concerned, the public is not as accepting of advertisers or tech companies using this technology responsibly,” said Samsung’s Carlson. “In our opinion, the laws in this area will only get stricter over time.”

Improving the Experience

There is no doubt that facial recognition installations in pro AV are worth the costs, especially when it comes to digital signage installations and improving the customer experience.

“Facial detection in digital signage installations has endless potential across numerous sectors,” NEC’s Harlin emphasized. “The technology is primed for the retail and QSR spaces. By gathering non-identifying data like gender and age, the platform can recommend targeted advertisements immediately. The technology also has applications that NEC will be exploring in the future, including in the hospitality market, for those who operate cinemas, educational institutions, transportation hubs, hospitals, convention centers, and municipalities that operate as smart cities.”

[Engaging with Retail Technology]

Samsung’s Carlson agrees and says that facial analysis can improve the customer experience with relevant content based on anonymous demographic data. As an added benefit, “brands and retailers that successfully activate on this information may gain a lift in sales and customer satisfaction.”

Mad Systems has seen the benefits of facial recognition greatly impact museums, theme parks, and visitor centers, where the main benefit is better customer service. Ensing pointed out that most general information at these venues is targeted to the average visitor—missing most of their target audience. Using facial recognition allows relevant versions of information to be provided—for example, using simpler language for children and providing options for expert-level information for those who are interested in a deep dive.

“We are creating a better customer journey by offering tailored content for groups of visitors or for individual visitors, to meet ADA requirements, to provide content in different languages, and to provide content for different interest groups,” he said.

He pointed to theme parks as an example. Imagine you’re riding your favorite rollercoaster and the camera takes a snapshot of you as you cruise down the track at 75 mph. When the thrill is over, you patiently wait for someone to find your picture in the system so you can see the funny face you made. “As it stands now, that takes a considerable amount of time to wait to find your picture,” he said. “With facial recognition, it would be instantaneous, and you could continue your day in the park uninterrupted.”

The Future of Facial Analysis

The future undoubtedly holds more regulation when it comes to facial analysis, recognition, and detection, but it also offers the promise of expanded potential. Perhaps Ensing summed it up best: “This technology can be used for great things, and we’ve just started to unlock its full potential. This is truly 21st century AV!”

The What: Mad Systems announced their patent has been granted for systems and methods for providing location information about registered users based on facial recognition. Their system, called LookingGlass Concierge, uses facial recognition to identify and locate people. It then logs each member into a group either using pre-entry data submitted prior to their visit, on-site using a self-service kiosk, with assistance from a staff member, or by various other methods.

The What Else: Mad Systems says they developed LookingGlass Concierge and other facial recognition-based systems to improve customer service and enhance visitor experience at theme parks, museums, visitor centers, fairgrounds, stadiums and conference centers where groups often visit. Coupled with Mad’s patent pending recognition-based media delivery, Mad points out that the LookingGlass system creates a unique integrated experience that is a generation beyond current technology. 

“This is a wonderful beginning to a new era for AV. I see Facial Recognition combined with our wireless AV system, QuickSilver™, reinvigorating the AV world to provide new and incredible opportunities for entertainment venues like theme parks, and museums - but also in board rooms, class rooms and related situations," said Mad Systems Founder Maris Ensing. "This technology allows you to recognize individuals, and activate specific configurations for them. This is a 21st Century AV system for sure! Anyone who wants to see the future of AV with this patented technology at work - let us know, we'd be delighted to provide a demonstration."

Tricia Rodriguez, CEO of Mad Systems, also said, “My team took a look at some common challenges in entertainment venues and created solutions using software and technology to tackle things like keeping families and groups together at a venue, helping visitors to retrieve purchased merchandise, helping with venue traffic control, helping with ADA compliance, and ultimately helping to create a memorable VIP experience. This is one of several facial recognition-based systems that Mad has submitted patent applications for so stay tuned for more innovations coming in 2020!”

The Bottom Line: With facial recognition becoming a more important element of the consumer experience, innovation that moves technology forward, while respecting the privacy of consumers, is a factor in a range of possible applications across many verticals.

The What: Mad Systems has introduced the LookingGlass Concierge, a facial recognition system.

The What Else: The LookingGlass Concierge system uses facial recognition to recognize people. It then logs each member into the group using a variety of methods including pre-entry data submitted prior to their visit, on-site using a self-service kiosk, or with assistance from a staff member. Once done, the system can keep track of where the members of that group are, retrieve pictures, and collect merchandise that members of the group purchase or win.

The system will log people and group members as they move around the venue, and always log the last place they were seen. If a person or a group member wants to find other members of the group, they can walk up to a kiosk, retrieve information of where other members of the group are, how to get there, and have an option to leave a message for them (i.e. their next stop!) using the kiosk or even a personal device.

The Bottom Line: The rationale behind the system is that the experience should be easier for visitors if they are in a venue that uses some sort of recognition system. Guests will feel safe knowing their kids cannot leave without their guardians, that people can easily find each other when separated

With a concierge system such as this in place, a lot of things that are currently a chore would be made easier for visitors, and when combined with Mad’s recognition-based media delivery, the LookingGlass system would create a unique integrated experience.

The What: A 21st-century audiovisual and interactive solution for museums and visitor centers, Mad Systems’ patent-pending Facial Recognition and Color Recognition Controlled Media Delivery Systems are designed to deliver tailored media to exhibit visitors—with no need for phones, tablets, or anything else that distracts the audience.

The What Else: The Facial Recognition System can start recognition from a picture submitted by the visitor from home prior to their visit using their home computer or mobile device, from imagery and information collected when the visitor enters the venue using a kiosk or ticketing staff, or on an ad-hoc basis when they get to the exhibits. The user can select his/her preferences—such as preferred language, age group, interests, or a predetermined time limit for museum visits—and the Facial Recognition system will deliver media to the user based on these selections.

The Color Recognition System is based on a very simple concept: school groups and clubs often arrive at visitor centers wearing uniform, printed shirts, scarves, hats, or jackets that are bright colored and easily identifiable. When a group of visitors come to the entry, a camera looks at one of the shirts or jackets, and logs that color. A staff member, or a group member then tells the system what type of content to deliver—whether that is elementary content for younger children, or a more advanced experience for high school students. Even if no common color is worn, visitor center staff could hand out colored badges on lanyards or self-adhesive tags for clothing, and the system can still pick this color out to deliver customized content. Bright yellow could be used for vision-impaired guests, and blue for hearing-impaired visitors. Elementary kids might be issued red badges; a group of physics students might use purple. A Spanish language preference could be indicated by cyan, and other non-native English speakers could wear green.

The Bottom Line: Mad Systems’ Facial Recognition and Color Recognition Solutions provide media content that is tailored to visitors, without wristbands, RFID, or other interfaces. These unique systems use cameras and sensors to look at the space in front of an exhibit to identify the person or previously defined colors to deliver media in a way that matters to the visitor.