Security Cover - Network Security Video Security

Top 5 Video Security & Network Security Tech Solutions Today

What comes to mind when you think about surveillance & security tech? Some companies still only rely on a guard looking at a video wall, strategically placed motion sensors, or badge ID cards for building/office access. Yet many organizations and enterprises are undergoing digital transformations to increase efficiency and upgrade these systems.

In this article we will offer our picks for the top five physical and network security tech solutions that organizations and enterprises are exploring these days.

1. Edge AI & Video Analytics – Video Security

Data Bridge Market Research shows us that the rising need and demand for edge computing programs and services will experience a CAGR of 20.15% with a rise of up to USD 2.7 billion through 2028. To refine that further to include video analytics into the edge AI equation, MarketsandMarkets Research show that video analytics on edge devices improves surveillance and monitoring by reducing the amount of raw data that needs to be transmitted over networks.

Processing facial recognition or other intelligent video analytics to identify things of interest and suspicious activities or behaviors on edge devices is a growing and valuable technology in the surveillance and security fields.

EXAMPLE: The IVAR™ edge AI platform from Gorilla Technology

CCTV - Video Security

2. OT Security Solutions – Network Security

OT Security is different from standard IT Security. (OT stands for Operational Technology while IT is Information Technology.) OT is a type of hardware and software used to monitor and control physical devices, processes, and infrastructure. OT Security is a common form of cybersecurity used to protect Industrial Systems and networks from various attacks. OT is used across multiple industries including manufacturing, power plants, transportation, utilities, and smart city appliances.

As outlined in a recent report from Market Research Future analysis, the global OT security market is forecast to see an increase to USD 3.5 billion at a CAGR of 42.2% through 2025. The driving forces behind the market growth include the integration of IT and OT systems, surge in the risk of cyber threats on critical infrastructure, and increasing dependence on legacy systems.

EXAMPLE: The NSGuard Series of OT Security Solutions from Gorilla

3. Access Control Systems – Video Security

COVID-19 has changed quite a bit in regards to access control systems and what they are expected to do. Edge AI video analytics are being implemented more in access control systems to accomplish things like employee ID verification via face recognition. From monitoring employee health conditions and meeting government mask/temperature regulations to ensuring visitors and employees can gain timed access with privileges to pre-assigned areas on to time-logging every area entry and exit, the desired tasks assigned to access control systems have expanded quite a bit. While its roots are in security, access control systems are now just as important for health and controlling the spread of deadly diseases.

Mordor Intelligence reports that the Access Control market is expected to reach USD 11.7 billion by 2026 and grow at a CAGR of 7.38% until then. The need to enhance the safety and security across various residential and commercial segments is significantly adding to the market growth globally. The advancements in edge AI computing mentioned above and the expanded use cases in this post-pandemic era have both contributed a great deal to the growing interest in access control systems.

EXAMPLE: Post-Pandemic Access Control & Area Management from Gorilla

Access Control - Video Security

4. IoT Sensors – Video Security

The global smart (IoT) sensor market size, according to Allied Market Research, is projected to reach $91.37 Billion by 2027 with a CAGR of 14.30%. IoT sensors enable better control and monitoring of different security operations. These sensors react to physical inputs that occur or change – like light, heat, motion, moisture, or pressure – by producing an output on a display or transmitting data further processing on edge devices or other designated machines with the help of signal conditioning, embedded algorithms, and digital interfaces.

These sensors are often used in the surveillance and security fields along with other technology – specifically enterprise security. The demand for combining video surveillance, edge AI video analytics, and IoT sensors to create comprehensive physical security systems with multiple false-positive checks is increasing rapidly – and so is using OT security solutions to ensure device and health and security.

EXAMPLE: Enterprise Security Solutions from Gorilla

IoT - Video Security

5. VMS Systems – Video Security

Kenneth Research reported to MarketWatch that the global Video Management Software (VMS) industry is anticipated to see a CAGR of more than 16.85% through to 2025. Factors pushing this projected industry growth include easier ways of deployment, the rising use of IP videos, third-party integration, and other digital business systems. Mainly due to COVID-19,  safety and security concerns have escalated nearly everywhere and further advancements in edge AI video analytic processing capability have led many VMS users to upgrade their systems to include some form of video analytics as well as OT security.

Control Room - Video Security

Observations in Video Security and Network Security Tech

CCTV cameras only sending video to hard drives, guards staring at video walls, ‘systems’ made up of only motion sensors, and unmanaged device/system health – these old days of security are over. As you read in the sections above, video analytics & edge AI, OT security, access control, and integrated IoT is the combined direction that the field is moving. So meet the future today and contact Gorilla about one or more of the ideas in this article.

AI Appliances in Smart Cities

Top Video Analytics AI Appliances for 2021

AI Appliances are computers that do one thing well – run specific AI software. Smaller devices with more processing power have come together with developments in edge computing to unlock the immense expansion of capabilities and uses these AI Appliances can now offer.

But what are the devices we think will have the greatest impact in the coming year? As recent reports project, the video analytics market is poised to see large growth and Gorilla is a driving force in that projection.

With that in mind and to keep this list more concise we decided to focus on AI Appliances that run video analytic software since AI running on AI Appliances will vary from project to project. (click on the titles or images below to learn more about each AI Appliance)

The LEC-2290 from Lanner is the latest generation of intelligent edge computing systems powered by the 8th generation Intel® Core™ i7 processor. Designed for deployment in diverse environments (-20°C to 45°C) and to meet the high Power POE requirements of network applications, the LEC-2290 brings the most secure, low-latency video AI applications, such as city surveillance, machine vision, and mobile surveillance.

The Behavior Analytics AI Appliance gives government, transportation, enterprise, and retail administrators a better way to monitor, manage, and make decisions on any scale. It has been implemented in many projects globally and excels at superior public safety, enterprise security, and retail analytics. With professional, standard, and custom models to choose from, this AI Appliance runs its preloaded video analytics on up to six video channels – all on Intel® CPUs and without GPU assistance. This is one in a series of AI Appliances from Gorilla aptly dubbed Vision AI. The hardware and software in each AI Appliance in the series is tested for compatibility and stability to give you the optimal combination of accuracy, performance, and efficiency. To go the extra mile, flexible hardware aftercare from service centers all over the world as well as first line tech support from Gorilla is included with each AI Appliance.

The Edge AI Video Analytics platform from Arrow and Gorilla includes a complete technology stack to develop intelligent video surveillance applications. The platform delivers real-time intelligent video analytics and business intelligence.

Core video analytics capabilities of the solution include people/face recognition, behavior analysis, vehicle detection/recognition, and real-time insights. Exception alerts based on key business or security parameters make the platform well suited for video surveillance applications in public safety, smart cities, and enterprise security and for enhancing customer experiences in retail. Moreover, these features provide a complete security convergence platform that safeguards both physical and network security.

Comprised of Gorilla’s edge-computing video analytics software, an AI Toolkit can be placed on hardware devices and boards with different form factors, shortening the time to market for end product manufacturers and solution developers.

More About AI Appliances

Many elements go into making a quality AI Appliance. From form factor, to environmental capability and on to processing power or type of AI being run, the market today is sure to provide the perfect AI Appliance for any setting or project.

You can find out more about AI Appliances and Gorilla Technology here: https://www.gorilla-technology.com/

We also recommend learning more about edge AI here: https://www.gorilla-technology.com/Edge-AI

A firm understanding of video analytics can be ascertained here: https://www.gorilla-technology.com/Video-Analytics

For a deeper dive, download Technical Whitepapers and Case Studies from Gorilla Technology here: https://www.gorilla-technology.com/Edge-AI/Whitepapers

Online Transaction with Credit Card

How to Improve and Strengthen Online Transaction Security

Less Time Outdoors Means More Time Online

While COVID-19 continues to spread, people continue to spend less time outdoors and are making fewer trips to shops in order to curb transmission. To circumvent outings, many have opted to conduct transactions online from home – things like online banking, mobile banking, and online shopping have all seen increases. There has been a 30-40% annual growth in people’s online transactions since the outbreak, which is significant in its wider implications.

Online Payment Graphic

Public health management awareness has increased due to COVID-19 and in order to reduce the number of outbreaks, banks have actively marketed digital access services such as more feature-rich online and mobile banking options. Multi-factor authentication instruments and systems in financial applications solve time & location restrictions and are also cashless. They can also help us avoid potentially dangerous contact and greatly increase the frequency of public use. However, this pandemic has changed life and our transactional patterns, causing some banks to focus on internet banking while closing some physical branches.

Online Transaction Security

As the public’s demand for online transactions has greatly increased, the importance of internet transaction security mechanisms has become more clear. Traditional verification mechanisms are still mainly based on password input, and are matched via mobile phone text messages or email dynamic password verification. However, the security of these users’ information is still at a very high risk of being cracked and obtained for misappropriation.

While fingerprints have been used as a type of multi-factor authentication, the hardware needed for transportable mass adoption is not available. Fortunately, there is another biometric technology available in our smartphones. Combining the camera and some edge AI software, we can use facial recognition as a secure and reliable second layer of authentication in order to access files, systems, or even make financial transactions.

Facial Recognition - Mobile One Time Password

Facial recognition used as a dynamic and secure form of verification treats each face as a unique access key password. Users can be effectively protected through using this unique biometric (their face) and a deep learning recognition engine. With FR-MOTP from Gorilla Technology, each time you need to access a system or make a transaction, your password is the first line of defense and your face is the second and more unique key to making secure transactions. 

Considering the importance and frequency of the many online transactions we make, it’s apparent that multi-factor authentication should be used whenever possible. When facial recognition multi-factor authentication is used regularly, every transaction is made safe and the overall security level of digital transactions on the internet is improved.

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5 Ways Video Analytics Can Help Manage Covid-19

Since the pandemic began, wearing face masks and social distancing have been used as preventive guidelines for individuals, organizations, and governments to follow. Many governments have gone so far as to make those guidelines into mandates and laws.

Whether guidelines or laws, it’s still the responsibility of society to maintain these and make sure a second wave of the pandemic does not accelerate out of control. But how can organizations or governments monitor or even execute these rules with limited human resources and no smart methodologies on hand?

We recommend intelligent video analytics — AI technology interpreting IP video sources. Preventive measures like mask wearing and social distancing guidelines can be easily monitored as well as executed. Below are five examples of intelligent video analytics from Gorilla Technology and their use cases that can help you make a proactive difference in responding to the Covid-19 pandemic:

 

1. Facial Recognition

Employing no-touch access control reduces physical contact with devices and people, which can drastically reduce transmission of the virus.

 

2. Mask/No-Mask & Eyewear Facial Recognition

Mask guidelines and mandates are in effect to some degree all over the world and leveraging edge AI to assist in enforcing these regulations decreases required manpower and increases efficacy in areas where personal protective equipment is required.

 

3. Crowd Detection with Occupancy Analysis

As social distancing is part of the new normal, people counting and crowd detection can help keep transmission risks to a minimum.

 

4. Crowd Detection

Once offices reopen, management can ensure break rooms and other gathering spots remain safe and not overcrowded with edge AI zone capacity alerts.

 

5. Heatmap and People Counting

Good air quality in high foot traffic areas is important and heatmap & people counting analytics can empower HVAC systems to circulate air appropriately to keep infection risks low.

We firmly believe in and see the benefits of implementing intelligent video analytics that can adapt to many situations — it saves time, money, and makes it easier to quickly solve new and unforeseen challenges, like what we are experiencing now with Covid-19.

For more info about this topic, refer to our solutions on Post-Pandemic Area Management. Also, if you’d like a deeper dive on the technology or specific cases, our whitepapers offer more details.

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Minimizing Network Security Risks While Working from Home

WFH is Here - Probably for Good

More companies are transitioning from working at the office to working from home — it’s a fact. What started as a short-term workaround in response to the Covid-19 pandemic, just might turn into a long-term or even permanent change as more workers get used to the freedoms and slashed commute times that working from home affords. 

Employees are not the only ones benefiting from this new normal of more employees working from home, companies are reaping rewards like lower overhead and increased productivity from employees.

Network Security Risks Involved in WFH

In the transition from the office to a home environment , laptops are now a major security risk to companies. Previously, most PCs and laptops rarely left company grounds. So, even if a device was misplaced, the chance of an outsider gaining access to the device, and thereby the entire network, was slim. Employees using laptops out of the office creates a high probability that a non-employee will have physical access to these off-site devices (and in turn, network access). In order to mitigate this security issue, two-factor authorization (2FA) can be used.

2FA with Facial Recognition

With Gorilla’s FR-MOTP (Facial Recognition – Mobile One-Time Password), companies can secure and control employee laptop access by allowing only designated employees to access specific laptops. FR-MOTP works by having the employee use facial recognition on their mobile device to obtain a one-time password in order to unlock their Windows laptop. After installing the app on the device and the software on the laptop, the employee can quickly obtain a password and gain access to their laptop in two steps.

  1. Open the app and use facial recognition to display a temporary, one-time password to use on the company laptop.
  2. Enter the password from the app into the laptop along with the employee’s Windows login.

With facial recognition included in the 2FA process, even if an outsider obtains the Windows login info and the user’s mobile phone, they will be unable to log into the laptop because they won’t have access to the employee’s face.

Post-Pandemic Area Solutions like FR-MOTP deployed by enterprises and other operations can ensure that everyone involved can stay safe while being as productive as possible.

For further reading, our recently published whitepapers are recommended as an insightful starting point. If you’d prefer to talk to someone about solutions like what was outlined above, please contact Gorilla.

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The Woes of the Modern-Day Air Traveler – Could Facial Recognition Bring Back Some Measure of Joy?

Remember years ago when travel used to be enjoyable? Friends and family could come inside and have lunch with you before your departure or meeting you at the gate as you stepped off the plane. Security wasn’t so picky as to what you could bring in your overnight bag. Plenty of non-stop routes. Lots of seating room on airlines? Remember when? I do. That’s how it was when I began my career in biometrics nearly 25 years ago.

Well, as we all know, the events that took place on 9/11 changed air travel forever. The last 19 years have been plagued by rules and regulations just to get inside security. Don’t get me started on trying to find a place to grab a quick lunch where you can actually sit down and eat. The airports are packed with people from all of the connections, you’re lucky to find a counter to lean on. Airlines now cram as many seats into one airplane as possible to maximize revenues using fewer planes which also means fewer direct routes. More connections, more security. The list goes on and on. Let’s face it, the fun has been taken out of air travel.

Now ring in the new year. Its 2020, air travel is simply a necessary evil of today’s global workforce. Then Covid-19 hits and the world realized that the 300,000+ flights daily from all over the world are helping to spread the disease like wildfire.

So – what are the CDC and industry leaders talking about now to further protect air travel? Mask wearing is being instituted by airlines around the globe. Some airports are also calling for it, handing out masks to travelers that forgot theirs at home. It seems we’ll be required masks from the time we step into the airport, till the time we leave the airport in the destination city. How will you have an enjoyable meal wearing a mask? How will you feel after breathing your own air all day? Imagine meetings with a customer or vendor in an airport wearing a mask? I’m annoyed just thinking about it. Then there is the potential for temperature screenings which no doubt will make the lines even longer.

The question on my mind is, could facial recognition bring back some convenience to air travel? What if you could check in using just your face? Go through security using your face without passing documents and germs back and forth? Could you use your face as your boarding pass to eliminate people fumbling with the screen brightness on their phones or for the old-fashioned sort who use paper passes, losing them in their luggage. For this to become a reality, facial recognition with mask detection will be required.

Many airlines have been thinking about how to make opt-in programs for frequent travelers to provide perks beyond what is available today as just another number. What if the gate agent could hold the door a little longer because they knew a diamond member was moments away? What about the many airline lounges welcoming you by name as they recognize you walking by? Could other services be brought to you if the store or restaurant knew you were nearby? Using facial recognition with mask detection – the possibilities are as broad as our imagination.

Given all of the inconveniences in today’s air travel, would you opt in with your face to make your day a little brighter? It’s all about personalization or picking the frequent traveler out of the crowd to offer special services that haven’t been previously available.  It’s time facial recognition becomes a reality for those that want some relief from the modern-day inconvenience.

To read more, click on what interests you below:

 

Post-Pandemic Area Management

Video Analytics

Edge AI

Whitepapers

 

Contact us to continue the conversation.

Reopening Service & Retail Business Safely in the Post-Pandemic World

Reopening Service & Retail Business Safely in the Post-Pandemic World

Lifting the Lockdown with Edge AI Technologies

Countries are gradually lifting their lockdown policies with the hope that life will go back to what we knew before as normal. However, we are all conscious of the fact that the impact of Covid-19 has redefined our understanding of normalcy forever.

One of the most significant consequences of the pandemic is the acceleration in the adoption of technology to optimize and automate operations. We have seen a steep increase in the demand for edge AI solutions over the past months in preparation for the world after COVID-19. Gorilla Technology has developed a dedicated solution that is not only flexible and scalable, but also market-ready. The solution taps existing products which have been customized to focus on helping businesses achieve the following goals:

  • Monitor Social Distancing
  • Optimize Service Efficiency
  • Automate Operational Processes
  • Improve Overall Store Hygiene

The New Normal for Service and Retail Business

It has become increasingly important during lock-down to monitor social distancing. Inside brick and mortar stores such as supermarkets, governments have restricted the number of people allowed within any given area at any one time.

Entrances and Access Control

Currently, staff has been diverted to manage people flow at the entrance of stores – a process that comes wrought with unavoidable human error and inefficiency. To combat this, when more businesses reopen their doors we can deploy and see edge AI video analytics performing automated people counting at the door, with minimal staff engagement required. Screens at entrances will show the exact number of people currently in the store, as well as the max occupancy allowed. The queue outside the store will be separated by marks on the floor. Once inside the store, automatic alcohol dispensers will be placed at various points for customers to use as they like.

For businesses that don’t need to keep their doors open during business hours, an access control device can be deployed at the entrance to measure peoples’ temperatures and grant or deny access accordingly. These devices can be equipped with Gorilla’s facial recognition technology in IVAR™, which includes mask detection and can integrate with temperature sensors. In order to provide flexibility, solutions need to be scalable, cost-efficient, and contactless. The choice will naturally be to deploy edge devices able to run AI analytics and convert this into real-time data. The key tool behind it will be computer vision.

Analytics On the Sales Floor

Inside the store, behavior analytics based on video footage will be used to monitor trends over time. The importance of gaining a bird’s eye view of customer’s behavior in the store is crucial for further action.

Businesses want to understand which areas in the store were frequented more in order to do proper sanitation. This data can also reveal customer preferences, which in turn can lead to more effective inventory management as well as an improvement in in-store product placement. Popular products can be placed in more accessible areas, but also, this can benefit the business owners by allowing them to better manage the shelf-space fee from vendors.

Having precise information about how much time people are spending in certain areas (dwell time) could prove valuable in assisting health organizations perform contact tracing. The contact history of the infected person can then be accurately traced, to inform people that have unknowingly been in contact with them. In addition to this, with the same dwell time information, retailers can correlate the data to uncover the exact product that people are spending more time looking at and tweak their supply chain accordingly.

Previous to the pandemic, most of the sourcing in retail chains was done through personal relationships between vendors and buyers. Decision making was largely made by buyers who relied on their own experience, a system that is time consuming and not quickly replicated. The pressing need to automate and make decisions based on precise data will become indispensable for businesses reopening in the post-pandemic era.

POS and Check-Out

The need for social distancing will not subside for a long time. Some businesses estimate that such measures will need to be kept in place for the next two to three years. In view of this, the areas where people are likely to concentrate within brick and mortar stores are crucial. The check-out area is one of these high risk areas where edge AI video analytics can help manage the amount of people queuing up in order to reduce wait times.

Crowd detection analytics in computer vision solutions like IVAR can help detect the number of people in a determined zone and send a notification to appropriate staff when the amount of people exceeds a pre-established limit. Once staff is notified, they can reduce check-out time by opening more counters to serve more people.

Reopening Through Digital Transformation

If COVID-19 has taught us anything, it is to pause and reflect on our business practices. This forced halt in our daily activities has no doubt impacted us negatively, but has also allowed the world to reset itself and find new best practices.

It has made us humble about our own limitations and brought us together to collaborate as a community. It has put into question the way we consume, and striped our purchases to the bare necessities. It has also pushed organizations that were hesitant about digitalization to quickly pivot and adapt. In the wake of the pandemic, the service and retail industries will go back to business transformed – empowered by AI-driven technology and enhanced by data-driven decision making.

Contact us for more on digital transformations.

Visitor Management Reception

Facial Recognition – Visitor Check-In

Visitor Management Systems: There Must Be a Better Way

Giving a schedule of expected visitors to reception is a common part of day-to-day operations for most business professionals. Typically, the only two pieces of information you pass to reception is the visitor’s name and what time you’re expecting the visit. Have you ever wondered if there’s a better system to manage/control visitor and guest access?

Corporations are constantly seeking out and embracing new technologies to enhance their visitor management systems. For many businesses, visitors no longer need to exchange their ID for a visitor badge – some corporations will register your visit prior to the meeting and the system will log it. This helps corporations monitor foot traffic and also provides a layer of safety to employees, yet still leaves some questions about the visitors unanswered.

The Challenge of Current Visitor Management Systems

More advanced visitor management systems enable us to track who will be visiting today, tomorrow and in the following weeks. However, let’s not ignore that the receptionist still needs to interact with and identify the visitor using limited information. After reaching out to multiple businesses and building managers in professional spaces, we discovered that there are even more issues that arise when using a system like this:

  • Visitors provide the wrong information when scheduling a visit.
  • The visitor is actually an unwelcome guest but provides false information in order to sneak into the office.
  • An ex-employee leaves the company on bad terms and has threatened to come back to the office and make a scene.

The above are the most common and real situations that happen in office buildings all over the world. What can be done about these oversights?

With recent improvements in biometric and facial recognition technology, there is now a better way to secure corporate safety on the front line and streamline visitor management.

Smart Access Control for Visitor Management

A quick internet search shows that more technology providers are offering biometric solutions like fingerprint scans to improve physical access control. We are no longer limited by using pin codes or RFID cards to swipe in and get building access. Businesses, however, are not able to collect biometric information prior to guest visits. Enter facial recognition.

Smart Access Facial Recognition

This new approach to access control is innovative and straight forward. This smart access control system operates something like this: the staff inputs the visitor’s contact information along with an image of their face prior to the visit, the system then logs the profile and automatically issues a badge for the visit, and when the visitor’s face is scanned for identification & verification upon arrival, they are admitted to the building. This technology means no more incorrect visitor information, no more impersonators gaining entry, and ensured safety from disgruntled employees. To add even more value, the person at reception doesn’t need to be there to identify the visitor anymore as the entire process has become automated.

Smart Access Deployment for Visitor Management

Leveraging facial recognition and access control concepts gives us flexibility to transform outdated visitor management systems into proactive ones. Smart access control deployment is something that Gorilla Technology leads the field in and is well-versed in assisting companies making this transition. Using facial recognition in video analytics to improve visitor management systems can be applied in many scenarios.

By utilizing Gorilla edge AI technology to realize truly smart buildings, we can now create visitor management systems that give better guest experiences while increasing safety for everyone.

Traffic

Smart Transportation – Traffic Intersections

Improving the Intersection

Look both ways before crossing – we all learn this when we’re young and pass it on to our children when they start going out in the world. The traffic signal and crosswalk are fundamental pieces in creating and encouraging orderly interactions between motorists and pedestrians – and as safe as they are, there’s always room for improvement.

In this article we’ll give a brief history of the intersection, talk about some safety problems it faces, and demonstrate a solution that’s already showing massive results.

Intersections Are an Evolving Technology

Road intersections have been a part of society for thousands of years, yet traffic signals and crosswalks were introduced less than a hundred years ago.

While most would assume that the introduction of these came with the invention of the automobile, they were actually introduced a bit before cars rolled off the assembly line. It is believed that the first ticket for running a red light was issued just minutes after the first traffic light was turned on.

It should be a no brainer that vehicles should stop at red lights and pedestrians keep to crosswalks. However, that idea gets mixed-up when we see motorcycles or scooters cutting corners by using crosswalks and also when pedestrians start to cross before they get the green light.

However ubiquitous traffic violations are in today’s dense urban environments, it still begs the question – what are their root causes? Is it a failure of urban design to integrate traffic flow, a lack of law enforcement, poor dissemination of road rules, impatient or inconsiderate drivers, or a combination of these?

Cities Need Smarter Solutions

With budget constraints and limited staff on hand to cover their thousands of intersections, cities world-wide need out of the box solutions to improve traveler safety and remind everyone that traffic laws are in place for good reason.

Enter the Smart City

We see news about them nearly every day, but what is a Smart City? Simply put, a Smart City uses different types of IoT devices and technologies to collect data and then use insights from that data to manage assets, resources, and services more efficiently than had they not been implemented. It follows that the room for improvement on systems currently in place is incredibly broad and deserves further classification and a closer look as well as a re-think of those systems.

These IoT sensors and data gathering devices we talk about in regards to the smart city almost always fall into the category of edge devices and some of these perform some of the actual work involved in processing the data gathered.

A Place for Video Analytics and Edge AI

Edge AI, when applied to video data, can turn the unstructured data into actionable and understandable information. Considering systems that might be able to benefit from the application of Smart City concepts, let’s look at our earlier example from the top – the traffic intersection.

smart city traffic

Creating A Smart Intersection

How much would it cost and would it even be possible to have a traffic officer at each intersection, 24/7, and have them log each traffic violation with information like time of day, license plate number, and vehicle make & color? And also have them raise a sign with driver info and a warning each time it happened, and report it all back to HQ as each infraction occurred?

The answer here is obvious, it would take an entire team with specific skills to accomplish this for all intersections and to achieve 24/7 coverage. This is the definition of a fool’s errand. It’s impossible to achieve this with only ‘feet on the ground’.

Now let’s consider a case in which we use video cameras with AI to do all of this. It not only seems attainable, but also very cost efficient.

camera locations

Proving the Edge AI Concept

In a recently published case about how video analytics and edge AI have drastically improved intersection safety and decreased infractions, solution deployment and use proved to deliver a 900% increase in identifying traffic infractions at an intersection in Taiwan – click the button below for the full story:

It’s important to note that this was all accomplished with existing and available technologies – the future is truly here and is helping law enforcement and overall safety in many public settings.

The Smart City Roll-Out

With more interest in creating new systems and updating older ones to curb traffic violations and increase public safety, companies like Gorilla, which have solutions that can deploy today and also make budget minded sense are poised to take the market lead as cities across the globe continue to roll out solutions.

Thoughts and Further Reading

The instruction to look both ways before crossing should never stop being taught, but we can now cross our streets more confidently with continued improvements in public safety using edge AI solutions to build up Smart City solutions.

To read more about edge AI, click here

For more info on Smart City solutions, click here

You’re also very welcome to contact us at anytime here: Contact Us

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