The most difficult part of creating short videos isn’t the production or sharing. It’s coming up with effective content ideas. One easy way to generate engaging content is to use a common category as a guide. Here are some popular categories that work well on most platforms, as standard corporate posts or paid ads.
One limitation you may run into is the maximum video length for each app. As of the time of this writing, the following max time limits apply for the following platforms:
TikTok: 10 Minutes
Instagram Reels: 90 seconds
YouTube Shorts: 60 seconds
If your video concept will require more than a minute, it probably isn’t practical for a YouTube Short.
1. Behind-the-Scenes
Show a glimpse into your daily operations and behind-the-scenes tour. This could include showcasing your team working on projects, setting up equipment, or testing systems. Behind-the-Scenes also work well for events. If your company attends industry events, trade shows, or conferences, capture moments from these events and share them. This can create excitement and showcase your company’s involvement in the industry.
2. Before-and-After Transformations
Highlight the transformational power of your work by sharing videos that show “before” and “after” shots of projects you have completed. This can be particularly captivating if you’re working on visual installations or upgrading systems.
Educate your audience by sharing short, informative videos that provide tips and tutorials related to your business or industry. For example, you could explain how to set up a specific type of BMS or offer troubleshooting advice.
Showcasing your products in action is a great way to engage with your audience. Demonstrate how your products work, highlight their unique features, and explain their benefits.
Introduce your team members through short videos that highlight their roles, skills, and personalities. This humanizes your brand and helps your audience connect with the people behind the company.
6. Client Testimonials
Share short clips of satisfied clients discussing the positive impact your services have had on their businesses or lives. This can help build trust and credibility among your audience.
7. Q&A
Take questions from your followers and answer them with another video. Q&As give your audience valuable information, creates a direct connection with them, and addresses their immediate concerns.
Showcase unique or creative projects you’ve worked on that go beyond your traditional work. For example, if you’ve integrated systems into an immersive art installation or a smart home with innovative features, capture and share those moments.
Share your thoughts and insights on current trends and developments in the systems integration industry. This positions you as an expert and keeps your audience informed about the latest advancements.
Collaborate with other content creators or businesses in related fields to create engaging and mutually beneficial content. This can help expand your reach and bring new perspectives to your audience.
11. Company Culture and Employee Spotlights
Highlight your company culture and introduce your team members to your audience. This humanizes your brand and fosters a connection with your followers. Showing off your company culture also aids in employee recruitment.
12. User-Generated Content
If you want to get your audience hooked on short-form video content, get them to create their own! Encourage your audience to make short-form videos featuring your products. Social media advertising can be much more effective when it features user-generated content (UGC), whether it be product reviews or DIY tutorials.
Bonus: Popular Topics
Popular short form video apps consistently feature specific topics and genres that are popular with users. Mix these topics with the above categories to create engaging content unique to your brand. For example, you could showcase an access control project (Behind-the-Scenes) that made a building more accessible to folks with visual impairment (Social Responsibility).
Sustainability and Social Responsibility
If your company has a strong commitment to sustainability or social responsibility, create videos that highlight your initiatives. Share your efforts to reduce your carbon footprint, support charitable causes, or make a positive impact on society.
Share creative DIY projects or life hacks that are related to your products or industry. This can provide value to your audience while promoting your brand.
Humor and Entertainment
Don’t be afraid to inject humor and entertainment into your videos. Create light-hearted content that resonates with your target audience and makes them smile.
Education
Create informative and educational content related to your industry. Share tips, tricks, and insights that can help your audience learn something new or solve a problem. During anniversaries of important dates, share a historical fact about your industry that’s interesting.
Participate in popular challenges and trends that are relevant to your industry or brand. Put your own spin on these trends to showcase your company’s personality and creativity.
Remember to keep your videos short, engaging, and visually appealing. Add music, captions, or other effects to make your content stand out. Also, don’t forget to use relevant hashtags and engage with your audience by responding to comments and participating in trends and challenges.
AI and machine learning (ML) are often used interchangeable, but they’re not technically the same thing. However, the difference is smaller than you think, and once you understand it, you’ll never mistake the two again. The following is a very basic explanation and omits many technical aspects of AI and ML which go beyond the scope of the intended audience. The definitions and examples attempt to lay a foundation for further exploration around these topics.
Artificial Intelligence: The Entire Robot
Artificial intelligence (AI) is a broad term that refers to creating machines that can perform tasks that normally require human intelligence. Examples of such tasks include visual perception, speech recognition, decision-making, and language translation. There are many subsets and subfields of AI, each of which tries to solve a specific problem and/or takes a different approach to creating “intelligence”. Here are the five most recognized subsets of AI:
Natural Language Processing(NLP) focuses on enabling machines to understand, interpret, and generate human language. NLP is used in applications such as chatbots, voice assistants, and language translation. ChatGPT is an NLP.
Computer Vision is concerned with enabling machines to interpret and understand visual data from the world around them. Computer vision is used in applications such as object detection or facial recognition. Autonomous vehicles, like some Tesla models, use computer vision.
Robotics develops machines that can physically and autonomously interact with the world around them to perform tasks like assembly line work or rescue operations. Boston Dynamics focuses on robotics.
Expert Systems are designed to mimic the reason-based decision-making ability of an expert in a particular field, such as medical diagnosis or financial analysis. Expert systems are why you keep hearing about AI lawyers defending people in court.
Machine Learning involves feeding data into a machine learning algorithm and allowing it to learn from that data in order to make accurate predictions or classifications about new data.
So, ML is a subset of AI. That’s the first big difference to note. While AI is a term that encompasses a wide range of technologies and techniques, ML is a specificapproach to building AI systems.
It’s helpful to think of AI as the “entire robot”—a fully autonomous machine capable of thinking and acting like a human. However, each subset is only one part of the entire robot. Robotics attempts to develop the “body” for interacting with the environment. Computer vision gives the robot the ability to make visual sense of its world. NLP arms it with the power to communicate. ML bestows the faculty of learning. And expert systems send it to university. It’s a true Frankenstein’s monster of disparate parts, but when brought together will finally realize the goal of AI.
What’s Machine Learning?
You hear a lot about ML because it’s a critical step in creating the entire robot. Almost everything we consider to be alive must be able to learn. Birds do it. Bees to it. Heck, even amoebas do it. But despite its ubiquity in the world of the living, learning is incredibly complex. Therefore, ML is taking on one of the biggest challenges, but it’s a triumph that offers the biggest ROI. Once we create a machine that learns, we can train it to make better decisions. So how do you create a machine to learn?
ML uses statistical algorithms to enable machines to learn from data and improve their performance on specific tasks over time. ML algorithms analyze large amounts of data to identify patterns, which it uses to make predictions or decisions on new data. Like humans, ML is a process that requires that machines be “taught” by exposing them to information.
ML Example: House Price Estimator
Suppose you wanted to create a ML learning algorithm that predicts the price of a house based on its size and location. You would need two sets of data: a training set and a test set. First, we create a training set of data composed of recently sold houses with their sale price and location.
The ML then processes the training data to look for patterns. After some processing, let’s say it “learned” the following “rules”:
Houses larger than 2,000 sq ft sell for > $200K
Houses less than 2,000 sq ft sell for < $200K
Houses within 5 miles of the airport sell for < $100K
Homes within 5 miles of the lake sell for > $300K
The algorithm could then use this knowledge to predict the price of a house outside the training dataset (i.e., the test set). For example, a house that is:
2,500 sq ft and 3 miles from airport.
Since the new house is more than 2,000 sq ft, the algorithm would then apply the “> $200K” rule, but since the it’s also less than 5 miles of the airport, it would apply the “<$100K” rule. Therefore, the algorithm’s prediction would likely be “$150K”.
Next, the ML algorithm checks its guess against the actual price, which is $170K. It now has a $20,000 discrepancy it needs to resolve. It checks for more patterns and learns that, as houses of equal size get closer to the airport, they decrease in price. Through some calculations, the program can determine the changes in price by proximity and apply the data as a weighted value in its next prediction. For example, maybe each mile closer to the airport equates to a 10% decrease in price.
The machine uses this constant process of guessing and checking (called backpropagation) to improve its predictions. The more iterations and inputs, the “smarter” the algorithm gets.
“So what?”, you might ask, “Isn’t this simple logic? Why do we need a machine to do this?” Well, for one, ML can sift through data, find patterns, and test its guesses against real world data at an astonishing rate. In short, it can “learn” much quicker than humans. For another, it can juggle many more parameters than we ever could, so its guesses will inevitably we more accurate over time.
Think about all the factors that go into the price of a house besides size and location. There’s the house’s age, condition, number of rooms, the market conditions, and seller motivation just to name a few. But there are other less typical considerations like current interest rates, lot locations, or roof type. When you drill down further, you find that the real number of factors is enormous. Few sellers place a critical role on the color of a house when calculating an asking price, but what if it mattered more than we thought? What about the history of the house or the future of the neighborhood where it resides? The better our predictive capabilities, the more important these “lesser” considerations become.
ML can iterate much faster and with greater detail than we can, making it more efficient at locating “hidden” patterns. What if dark-colored houses sold for higher prices than light-colored ones? Maybe houses with more east-facing windows were cheaper than more west-facing ones. Machine learning can consider all these factors and then some—and do it in real time.
Finally, imaging adding to this learning algorithm the ability to search for, monitor, and collect house price information for a large region of the country. It would be a fully autonomous learning and predicting machine that would only get smarter the longer it worked. That’s where ML is at today.
Conclusion
It’s easy to see how ML learning algorithms are a game changer for humanity. Their application to knowledge-based work of every kind is almost limitless. What’s AI developers are attempted is the automation of thinking itself. Translate these advantages to building automation, and it’s easy to see how ML will transform the built environment. Imagine AI that could plan your building’s HVAC setpoints a week in advance based on a weekly weather forecast and price predictions for energy costs. What about a FDD system that could predict chiller failure with 98% accuracy?
Remote work has presented challenges for both workers and their companies. Challenges include adopting flexible schedules and conducting video interviews. However, managing a team of remote workers can be a challenge, but it can also be a rewarding experience for both the employer and employees. With the right strategies in place, it is possible to effectively manage and support a team of remote workers. Here are some tips for managing remote workers:
1. Clearly Communicate Expectations
It’s important to make sure that remote workers know what is expected of them and how their role fits into the overall goals of the company. Regular meetings and clear, concise communication are best for providing expectations. When explaining your anticipations, whether verbally or written, use simple language, short instructions, and concrete examples. Anticipate potential problems and emphasize actions that are acceptable and ones that aren’t. So as not to appear negative, maybe include a few anticipated positives too.
2. Set Regular Check-ins
Scheduling regular check-ins with remote workers can help to ensure that they are on track with their work and address any concerns they may have. They also make up for the emotional gap left from the absence of face-to-face communication. The non-verbal cues we get from personal interactions are critical to building trust, empathy, and understanding, even in a professional relationship. Regular check-ins help make up for this deficient.
3. Keep Meetings Short
Employees can’t maximize remote work benefits if they spend too much time in lengthy online meetings. They might as well be at the office. Set a start and stop time and stick to it. One easy way to do this is to set a timer on your phone or your Windows Clock app. Better yet, use the free version of Zoom conference calling, which limits a call to forty minutes. The service will pop up a reminder that your meeting is about to end so you can wrap up your discussion. Also, use a meeting agenda with bullet points to keep the meeting on track.
4. Shift to a Results-based Appraisal
Your employees’ workflows will inevitably change with remote work. It’s just the nature of remote work for more time to be spent on other things like family responsibilities during “normal” work hours. Besides, the whole appeal of remote work is that workers can have a healthier work-life balance. So, shift your appraisal from the “correct” process, to goals and results. Dedicated, honest workers will find the shortest distance from A to B in their new workflow. Let them find their way. Ask yourself “Are they delivering results?” If the answer is “Yes”, then base your appraisal more on that fact rather than how unorthodox or non-traditional the approach to the work may seem.
5. Provide support
It is important to make sure that remote workers have the resources and support they need to be successful in their role. This can include access to training and development opportunities, as well as any necessary equipment or software. Create virtual “happy hours” or other informal events to build relationships.
6. React to Signs of Stress
Change is hard. Adjusting to a new workflow is a major change for employees. New problems crop up, along with opportunities. The stress may be overwhelming at time. Be sensitive to signs of over-work or excessive stress. Stressed workers may seem more argumentative, report more sick time, or complain more. Identify signs quickly so you can make changes. Check in regularly and facilitate an honest and open dialogue so workers aren’t afraid to tell you about problems.
Conclusion
In addition to these tips, there are a few best practices that can help to ensure the success of a remote team. For one, it is important to establish a process for tracking and managing work. This can include using project management software or creating clear, actionable to-do lists to ensure that work is completed efficiently and effectively.
Also, it’s critical to provide regular feedback to remote workers. This can help to keep them motivated and engaged, as well as provide opportunities for growth and development.
Managing a team of remote workers can be a challenge, but with the right strategies in place, it’s easy to ensure success for workers and the company. By following these tips, employers can create a positive and productive work environment for their remote team members.
Today more job interviews are being held via conference call apps like Zoom and Teams. Those looking to nab their next gig are jumping on a Zoom call to chat with prospective employer half way around the world. While a video job interview allows you to widen your pool of potential firms, these digital parleys require preparation if you want to make round two.
For one, non-verbal communication signs are hindered during video interviews. It’s difficult to maintain eye contact. Voice inflections may be distorted through digitalization. Body language is hidden by a narrow field of view. Still, with the right preparation, it’s easy to have a successful video job interview. Here are five must-know tips for newbies.
1. Lighting for a Healthier You
Don’t underestimate your lighting. No, you’re not interviewing for a reality TV show. And, yes, your computer monitor will provide a good supply of light to your face; however, that bluish hue will make you look like Ed Norton in Fight Club. Not the best way to present yourself “employable”. Instead, fight that blue hue with soft, warm lighting around your face. It makes you look healthier and more attractive. To do this, you want low spectrum lighting—bulbs that produce light around 2,700k-3,000k.
Use a small lamp near your monitor (just out of frame) to illuminate your face. Try turning on a room light with a warmer temperature bulb. If you’re in a nice, quiet area during the day, maybe consider sitting outside in the shade. What you’re looking for is to illuminate your face and keep the skin tones warm and pleasant looking. Small adjustments are what’s called for. There’s no need for a three-point lighting setup. So, don’t overdo it.
2. Give Them a Little Background
It’s easy to understate the importance of a good background in your video frame. The most common blunder people make is sitting in front of a bright window. The exterior light “blows out” the image sensor of your web cam, which can’t handle the bright and dark colors at once. The effect is a distracting large white blob of light surrounding an overly darkened face. Shut the blinds. Draw the curtains. Or find another locale.
Also, avoid backgrounds with overly bright colors. These are also distracting and draw attention away from you. Instead, conscript a background of neutral colors like gray, taupe, beige or cream. Walls and curtains of that hue are easy to come by. If your options are limited, try changing your background through the software. Most video platforms have background removal features, which can blur out your surroundings completely or show you calling from some exotic island locale.
Backgrounds that are too busy should also be swapped out. The description “busy” could refer to either a background with kinetic designs or with literal movement such as people at a restaurant. Both are distracting. Such bustling places with people would be inappropriate given the formality of the meeting anyway.
Pro Tip: Strategically place objects in the background that reinforce your personality or reaffirm the “What’s your hobbies, interests?” question. Enjoy playing field hockey? Prop your hockey stick in the corner of the screen. Maybe you’re a dyed in the wool fan of knitting. A carefully placed shawl on the back of your chair is a convenient prop for reinforcing your love—”I actually knitted this sweater I’m wearing!”
3. Get Ready for Your Closeup
Aside from the technical stuff, a video job interview is equal to an in-person interview with respect to decorum and professionalism. Sit up straight. Make eye contact (more on that below) and speak clearly and confidently. Professionalism also means dressing for success. Obviously, everything above the waist is a priority, since the southern regions will be out of frame (unless there’s a fire!).
Clean, kept hair, tie, coat or blouse are the standard boxes to tick. With respect to shirt/blouse color, take the same approach as with the background—nothing too busy or overly decorated. Go for solid colors and simple design. The focus should be on you. While heavy makeup is often avoided for in-person interviews, you’ll want to apply a bit more than normal for video. Much like the theater, video requires a bit more of a dramatic approach to makeup if you want it to appear “normal”.
Remember, your outfit needs to be appropriate to the position. You may have a good idea of what’s acceptable, but if not, do a little web searching to get the right dress code for your industry. Better yet, check out the company’s website “about” page and see what current employees are wearing.
Lastly, opt for smaller headphones, like ear buds, instead of larger, standard headphones. Smaller, lower profile speakers are usually cooler and more comfortable in stressful situations—plus, they won’t cover up that immaculate, newly quaffed hairdo you got in preparation.
4. Achieve a Solid Setup and Proper Eye Contact
Conference calls give you the freedom to do them anywhere. But wherever you choose to interview, ensure you have a solid equipment setup. Shakes and jitters induce nausea in your interlocutor, so don’t try and hold your device steady. Secure it well or invest in an inexpensive phone or tablet holder. Also, rotate your device to frame yourself in landscape rather than portrait mode. It will look more professional.
You will get better stabilization and overall control with a desktop or laptop setup. But keep webcam height in mind. Eye contact is important in a video job interview, but most desktop webcams sit at the top of the monitor. The higher position makes it impossible to appear as if you’re looking the person directly in the eye. You’re either looking at them or the camera, but not both.
To help the situation, lower your webcam to align it with the person’s image. Perfect alignment will, of course, cause the camera to obscure the person’s face, but you should be able to find a workable balance. Alternatively, purchase a transparent webcam holder, which solves the problem or try to engineer a similar contraption yourself.
One last note on eye contact: if you’re going to have notes for reference, put them on the monitor, either physically attached or in a doc. Looking down or to the side when referencing notes breaks your eye contact. To be sure, video job interviews are structured events, but employers expect you to speak extemporaneously. Don’t ever read verbatim from a prepared note and looking away to do so only makes you seem unprepared and nervous.
5. Practice Self-Sabotage
Regardless of the location, you should always do a run-through before a video job interview. Smart preppers do a run through with a friend or family member so they can anticipate questions and practice articulating their ideas. But proper practice includes more than memorizing your employment history; you should also formulate a plan for when things go wrong. And with video calls, there’s a heap of misfortune to anticipate, from low bandwidth issues to misapplied kitten filters. With that in mind, ready yourself for the unexpected by practicing self-sabotage.
Imagine the audio feed is disrupted. You’ll need some way to quickly communicate. Do you know how to find and use the chat feature? You’ll also need to determine if the issue is on your end or the platform’s. What if you accidentally share your screen, which is populated with “cheat sheets” and personal files? Are you familiar enough with the software interface to shut things down?
Compile a list of these types of emergencies, then pick them at random during your regular practice. Learning to adapt and overcome will help you not only ensure a smooth interview, but it’s also a personal trait that employers value in a prospective team member. Who knows, your quick thinking and action may impress them so much it gets you the position.
The social, environmental and technological challenges for the commercial real estate sector are significant. Many building owners and managers are still adjusting to the disruptions of the COVID pandemic, lock downs, remote working, mask mandates, rising energy costs and the move to hybrid work models. Few, if any, anticipated these events, nor the dramatic shifts they would kick start in building management and design.
On top of quickly developing social changes, there’s the long-term environmental impacts of global warming. Much of the planet is already feeling the implications of rising temperatures with increased flooding events, stronger storms, and eroding coast lines. All pose specific risks to property owners, since 10% of the world’s population lives in coastal areas that are less than 10 meters above sea level, according to an UN fact sheet.
Increased migration to cities and urban areas is spurring building development to a faster pace. The World Economic Forum estimates that two-thirds of the global population is expected to live in cities by 2050 and already an estimated 800 million people live in more than 570 coastal cities vulnerable to a sea-level rise of 0.5 meters by 2050. Technological advances pose yet another challenge to commercial real estate owners, as many feel the pressure by market competition and new government regulations to adopt energy and time saving building tech.
Given these social, environmental and technological challenges, it would seem change itself is becoming increasingly accelerated and unpredictable. Making things worse is the fact that we know less about the extent to which these factors affect each other. A warmer climate makes future pandemics more likely, which increases remote working, which reduces greenhouse gases. But higher temperatures also increase HVAC demand, which increases energy usage and greenhouse gases.
The entire system is connected, and each component poses a significant challenge in its own right; however, when combined, they will undoubtedly produce unforeseen outcomes that require quick course corrections at best, and entire paradigm shifts at worst.
While no one can predict the future, they can position themselves and their properties to better manage the unknown unknows. One way to stay flexible and adaptable is to adopt automated building controls built on open source protocols. Open building systems benefit from more technological flexibility, which can act as an important hedge against uncertainty.
Open System Protocols: A Short History
In the late 70’s early 80’s, large companies like Siemens, Johnson Controls and Honeywell took the first steps in connecting systems through electronic networks. Each brand developed proprietary “languages” or protocols that allowed building components like HVAC, lighting and alarms to “talk” to one another. While this created an efficient, dependable and integrated system, it also locked each property owner into the company’s proprietary hardware and software. And since connected systems were intended to last a decade or more, owners had little flexibility for innovation and change. In fact, it was the building systems provider that determined the speed and quality of that change.
Later in the mid to late 90’s, new organizations and companies like Tridium would introduce open protocols like the Niagara Framework, BACnet and LonWorks. These component languages didn’t limit owners to one brand by speaking one language. Instead, they could “interpret” between the other protocols, freeing owners to mix and match brands. Being “open” now meant property owners and managers could change the way they invested and used building technology.
Today, open protocols are a key play in helping evolve the next generation of automated building systems via IoT devices and smart building technology.
Open Systems and Adaptability
With open protocols, owners and managers can adapt quickly to market trends. With propriety systems, you’re locked into one manufacture’s software and hardware. Making upgrades or replacing components can be more costly than an open system. That’s because an open system is much like an open market. The more companies that compete for your business, the lower the price. Having the choice to shop around gives you budget flexibility to stay solvent sudden market fluctuations.
Quality is also affected. With open building systems, you can expand your search for new building systems and components outside a single contractor—who may or may not have the best quality available—and pick the best-of-breed tech. Component quality can vary based on priority, but open systems provide more flexibility for bigger investments. High quality investments are often long-term investments, so CAPEX projects also become easier to plan and deliver.
From a budgetary perspective, the best adaptability feature of open building systems is the ability to connect new devices to older systems. Open systems offer better ROI on legacy components. Building owners can realize their full technology investment by extending the life of older systems, while also adopting new solutions to keep them competitive.
Open source also makes it easier to customise your building systems. Non-proprietary protocols are valuable tools for developers and engineers to create bespoke solutions for the specific needs of their customers. Since connecting devices is easier, solutions are faster to develop, keeping you nimble and on-budget.
The Amazon “Biodome” campus in Seattle, Washington is a powerful brand statement about the company’s values.
Building Brand
Many of today’s biggest brands extend beyond their name recognition and marketing to include their physical properties. From Amazon’s Biodomes to Apple’s Spaceship, today’s corporate facilities and HQs are as much a part of the corporate brand as the logos themselves. But future businesses need not be on the Fortune 500 list to feel the necessity of such architectural recognition. Trends are already moving there fast, as post-pandemic attitudes toward workplace safety, air-quality and hygiene become part of a business’s social contract with its workers and communities. The safety and security occupants feel about a facility speaks volumes about those who own and lease its spaces.
In a recent episode of DCTV, Mitchell Day of Distech expressed the idea that a building is essentially a fundamental representation of a brand’s core values:
“A building is no longer just where you work,” he states. “A building expresses to the public who you are as a company, how you want [the public] to see how you see your employees and your products and who you want to be to the rest of the world.”
Day’s statement not only reflects the growing importance of facilities in general, but it also signals a shift in attitudes towards buildings as a core part of corporate responsibility. Today, brands feel more pressure than ever to adopt sustainable manufacturing processes, low-carbon footprint buildings, alternative energy sources and social responsibility. How a building functions, its efficiency and connectivity are indicators of that responsibility.
Open building systems offer the flexibility to adapt to cultural expectations. As Day himself says: “Open systems provide the power to give people more choices on how they express their brand.”
The Future is Complexity
It’s often said that buildings are “living” things, formed from complex systems working together to produce a habitable and safe environment for occupants. It’s an apt analogy, yet “complexity” is relative. With every passing year, emerging technologies like system integration, IoT, machine learning, smart tech and next gen sensors are making the dream of true system unification a reality. Tech is evolving at such a rapid pace it’s likely in a decade or two, today’s buildings may be likened to single-celled organisms by comparison. The entire “carpentered-world” will seem much more fluid.
While there are downsides to complexity to be sure, one of the biggest upsides is adaptability. The more complex, the more tools you have, and the more nuanced your approach can be. Complexity and connectivity are what property owners, and their buildings, will need to adapt to the challenges of future pandemics, energy transitions and global warming. Open building systems help building owners and managers manage such complexity.
In a post-COVID workplace, “hands-free” is the new buzz world. It’s also the new hygiene standard. At times, it may seem the pandemic has turned everyone into Adrian Monk. But you needn’t be an OCD-suffering detective to solve the mystery of the old hygiene standard; it’s dead—murdered by Delta and Omicron. However, its demise makes way for a new standard, one built with hands-free building tech.
Touchless interfaces, voice command, facial recognition systems are uber-popular among both employees and managers. Some hands-free devices are smart home gadgets carried to the office by new hybrid workers looking to introduce a little domestic convenience. But other employees simply want safer, more hygienic work and communal spaces.
Tech companies are speeding up their response to the touchless standard by leveraging existing tech: smartphones. Every worker already carries a small, powerful computer connected to the internet in their pocket, so why not start there. The shortcut is producing a variety of apps that give workers and managers hands-free control of lighting, elevator access and after-hours air con bookings. The touchless workplace is a safe bet for property owners looking to invest in tech that boosts their property values and occupancy retention.
Access Via Facial Recognition
Facial recognition is a growing tech in facilities access because it provides better safety and a keyless, touchless entry point. Cameras with specialised facial recognition software scan a person’s face to identify them before granting entry. Users simply look at the scanner, are identified, and the system unlocks the doors. While hardly a viable solution for high traffic areas, facial recognition systems do ensure touchless entry points for visitors and better safety for building occupants.
Smart Elevator Apps
Today, “calling” the elevator is no longer a metaphor. Some major lift manufacturers like Otis and Schindler now have apps that let you summon an elevator with your smartphone. Users can use the apps themselves to ask for life service or they can scan a QR code to let the elevator know what floor they’re on. Smart elevator apps are time sizers too. Riders can request the lift as they approach, select their destination, then arrive just as the elevator does. No buttons to press or physical contact to make means a more sanitary ride.
Touchless Audio/Visual Setups
The conference room is full of commonly touched surfaces swimming with bacteria. However, voice activated AV equipment and video launching apps are keeping the presentation room touchless. Companies like Crestron are making touchless AV wireless, letting you manage all your AV equipment and room scheduling one a single app on your smartphone. Imagine having an app to control your presentation equipment. Being able to set custom specifications, including your lighting preferences, blind levels, and audio volume all with one touch of your own smartphone.
Touchless Reception
Hands-free entry tech like automatic sliding and swinging doors are hardly new, but new “touchless” tech for reception are evolving to limit the time visitors are spending in reception. Reducing the number of people in reception reduces the risk of virus transmission.
Rather than performing traditional check-ins, visitors can send instant text messages, voice calls and emails to authenticate their credentials and notify hosts. Once inside, other touchless access points can be granted by reading smartphone data via Wi-Fi. Elevators may be sent, doors opened automatically, areas of the building opened all without the visitors needing to touch handles or screens. Such automated access systems can also perform other duties like contact tracing or administering health questionnaires.
Voice-Activated Lighting
Today’s modern commercial lighting solutions offer hands-free tech features like voice command and app operation to expand control over workspace illumination. Some lighting tech has replaced the traditional light switch with a motion sensor that activates with the wave of a user’s hand. Others control lighting with voice commands powered by popular voice assistants like Alexa, Siri or Google.
Other hands-free light switches have Wi-Fi so workers can turn off lights left on or turn them on before entering the building. Smartphone control also means the ability to schedule lighting at regular intervals or for specific events. Voice activation, motion sensor and smart app lighting controls give workers more choices while eliminating the need for physical contact.
