Download PDF version Contact company

Fury Motors has served the St. Paul, Minnesota area for more than 50 years. Founded in 1963 as a family-owned and operated business, the dealership offers the community a diversified mix of vehicles and services including new and pre-owned vehicles, financing, auto repair, and maintenance. Currently, the dealership employs 115 people locally and is a one-stop-shop for all things automotive and trusted by the community.

Committed to offering quality new and used vehicles for every taste and need, Fury Motors maintains a large and complete inventory of new Chrysler, Dodge, and Jeep vehicles. With more than $50M in inventory on a 10-acre lot, security has taken on a whole new level of importance since the dealership was founded.

Challenges faced

With the face of retail ever-evolving, challenges commonplace for auto dealerships have not only intensified but evolved, too. The safety and security of employees, customers, and assets have taken on a whole new meaning-making visibility into daily operations, not just important but critical to business success.

Now more than ever businesses require flexibility, agility, and adaptability in their business solutions. This is particularly evident when it comes to solving security challenges. Fury Motors is no exception.

The dealership realized simply recording security events as they happened was no longer enough. It needed to take a proactive stance on protecting its assets.

Security of assets and operations

To provide perspective, Fury Motors’ video security system required constant monitoring to capture events that were time and cost-prohibitive even with a monitoring company. And, if they could afford to have someone watch the cameras 24x7, human observations are subject to error or oversight. Fury Motors relies on remote monitoring to protect its inventory and capture valuable insight

As a result, most video footage was never viewed or put to practical use, so Fury Motors was missing valuable information that could improve the security of assets and its operations.

With no guard on-site, Fury Motors relies on remote monitoring to protect its inventory as well as capture valuable insight into employee behavior and customer service practices.

When the dealership turned to Global Axiom and Ava, a unified security company, it was losing $7K+ a month to internal theft and operational inefficiency above and beyond losses and damage to inventory.

Global Axiom Remote Monitoring powered by Ava Aware

Fury Motors realized that it could and should get more value from its remote monitoring service including its intelligent video security system and footage.

The dealership turned to Global Axiom for a monitoring service coupled with Ava Aware to provide the perfect solution to stay a step ahead of criminals and potential losses. And even more importantly, it gives Fury Motors the data intelligence to take business operations to a whole new level with greater efficiency and resource optimization.

Fury Motors needed a new approach to security. Specifically, a system to capture, analyze, and present the big picture data. Everything from monitoring people and assets on the outdoor car lots to technicians doing oil changes in the service bay to the handling of incoming parts and inventory after hours.

Video monitoring solution

Combination of Global Axiom’s remote monitoring expertise and Ava Aware technology is unprecedented The dealership’s new intelligent video monitoring solution uses artificial intelligence (AI) and machine learning bringing a new level of agility and flexibility to monitoring services allowing Fury Motors’ security operators to quickly review footage from past incidents, increase situational awareness and respond time to evolving situations, and capture trend data for developing strategies and making data-driven decisions to prevent future problems. The combination of Global Axiom’s remote monitoring expertise and powerful Ava Aware technology is unprecedented.

Ava Aware allows Fury Motors to accelerate investigations by searching objects and events of interest with speed and precision. Critical when managing $50M+ in inventory.

Four important Ava differentiators 

  • Proactive threat detection

Ava’s intelligent algorithms and self-learning detect abnormal behavior in specific Fury Motors scenarios and alerts operators in real-time. It intelligently highlights what’s truly relevant from all Fury Motors’ cameras, in real-time, all the time.

  • Powerful search using machine learning

Fury Motors is now able to search by event and similarity to perform appearance and image detection powered by machine learning capabilities. The dealership is now able to comb through countless hours of video in seconds. Critical in pre-empting theft and invaluable in managing operational efficiency.

  • Directional audio analytics

Fury Motors’ dealership is expansive with $50M in inventory on-site. The dealership needed a solution like Ava Aware to provide 360-degree coverage with Ava’s innovative acoustic sensors. The cameras identify specific sound patterns to determine the type of sound and its direction, and sends instant alerts to the Ava Aware video management system, providing Fury Motors’ security operators with a complete overview of the surroundings.

  • Enhanced business and operational insights

Fury Motors security and operations teams now have more situational awareness and insights. The dealership can monitor and count people and vehicles, watch smart maps to understand hot spots or high traffic areas to manage occupancy and shift scheduling, and ultimately, improve customer service.

Improved operational efficiency

Fury Motors is positioned to carry on for another 50+ years as a leader in the St. Paul, Minnesota market. Management team is able to review past events, respond to changes in real-time, and enhance operational efficiency with real data

With its new improved monitoring service powered by analytics, the dealership’s management team is able to both review relevant past events but more importantly, proactively respond to situational changes in any environment via real-time alerts to prevent situations from occurring. Similarly, management is able to improve operational efficiency with real data.

Ava’s technology

Ava’s mobile technology allows investigators to immediately search footage across multiple video cameras from the field to decrease the time-to-target and save hours of investigation and suspect-tracking. Again, creating significant operational efficiencies and increasing the likelihood to prevent and/or recover lost assets.

  • Video analytics

Video analytics has also allowed Fury Motors to create customized alerts allowing the dealership to take a proactive and preventative response to a variety of problems. This need gained significance in the wake of health and safety guidelines put in place for COVID-19 and since has allowed Fury Motors to improve customer service by being more in tune with employee response times to customers on the lot.

  • Data analytics

The ability to detect both patterns and anomalies using Ava’s powerful data analytics is empowering Fury Motors to enforce compliance and respond to important company mandates in the short term while improving operations and protecting employees and customers in the long-term.

Win-Win partnership

The Ava Aware solution combined with the Global Axiom remote monitoring service has been a tremendous win. Not only have our losses been eliminated but more importantly the headaches around dealing with those losses are gone as well. Our goal is for our customers to feel safe on our lot no matter when they choose to shop. They should feel comfortable that if they drop their car off for service or trust us with it for repair we will keep it safe. The Ava / Global Axiom solution provides this level of service and allows us to stay focused on serving our customers,” Fury Motor’s Owner, Tom Leonard.

Share with LinkedIn Share with Twitter Share with Facebook Share with Facebook
Download PDF version Download PDF version

In case you missed it

How Have Security Solutions Failed Our Schools?
How Have Security Solutions Failed Our Schools?

School shootings are a high-profile reminder of the need for the highest levels of security at our schools and education facilities. Increasingly, a remedy to boost the security at schools is to use more technology. However, no technology is a panacea, and ongoing violence and other threats at our schools suggest some level of failure. We asked this week’s Expert Panel Roundtable: How have security solutions failed our schools and what is the solution?

Why Visualization Platforms Are Vital For An Effective Security Operation Center (SOC)
Why Visualization Platforms Are Vital For An Effective Security Operation Center (SOC)

Display solutions play a key role in SOCs in providing the screens needed for individuals and teams to visualize and share the multiple data sources needed in an SOC today. Security Operation Center (SOC) Every SOC has multiple sources and inputs, both physical and virtual, all of which provide numerous data points to operators, in order to provide the highest levels of physical and cyber security, including surveillance camera feeds, access control and alarm systems for physical security, as well as dashboards and web apps for cyber security applications. Today’s advancements in technology and computing power not only have increasingly made security systems much more scalable, by adding hundreds, if not thousands, of more data points to an SOC, but the rate at which the data comes in has significantly increased as well. Accurate monitoring and surveillance This has made monitoring and surveillance much more accurate and effective, but also more challenging for operators, as they can’t realistically monitor the hundreds, even thousands of cameras, dashboards, calls, etc. in a reactive manner. Lacking situational awareness is often one of the primary factors in poor decision making In order for operators in SOC’s to be able to mitigate incidents in a less reactive way and take meaningful action, streamlined actionable data is needed. This is what will ensure operators in SOC truly have situational awareness. Situational awareness is a key foundation of effective decision making. In its simplest form, ‘It is knowing what is going on’. Lacking situational awareness is often one of the primary factors in poor decision making and in accidents attributed to human error. Achieving ‘true’ situational awareness Situational awareness isn’t just what has already happened, but what is likely to happen next and to achieve ‘true’ situational awareness, a combination of actionable data and the ability to deliver that information or data to the right people, at the right time. This is where visualization platforms (known as visual networking platforms) that provide both the situational real estate, as well as support for computer vision and AI, can help SOCs achieve true situational awareness Role of computer vision and AI technologies Proactive situational awareness is when the data coming into the SOC is analyzed in real time and then, brought forward to operators who are decision makers and key stakeholders in near real time for actionable visualization. Computer vision is a field of Artificial Intelligence that trains computers to interpret and understand digital images and videos. It is a way to automate tasks that the human visual system can also carry out, the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. There are numerous potential value adds that computer vision can provide to operation centers of different kinds. Here are some examples: Face Recognition: Face detection algorithms can be applied to filter and identify an individual. Biometric Systems: AI can be applied to biometric descriptions such as fingerprint, iris, and face matching. Surveillance: Computer vision supports IoT cameras used to monitor activities and movements of just about any kind that might be related to security and safety, whether that's on the job safety or physical security. Smart Cities: AI and computer vision can be used to improve mobility through quantitative, objective and automated management of resource use (car parks, roads, public squares, etc.) based on the analysis of CCTV data. Event Recognition: Improve the visualization and the decision-making process of human operators or existing video surveillance solutions, by integrating real-time video data analysis algorithms to understand the content of the filmed scene and to extract the relevant information from it. Monitoring: Responding to specific tasks in terms of continuous monitoring and surveillance in many different application frameworks: improved management of logistics in storage warehouses, counting of people during event gatherings, monitoring of subway stations, coastal areas, etc. Computer Vision applications When considering a Computer Vision application, it’s important to ensure that the rest of the infrastructure in the Operation Center, for example the solution that drives the displays and video walls, will connect and work well with the computer vision application. The best way to do this of course is to use a software-driven approach to displaying information and data, rather than a traditional AV hardware approach, which may present incompatibilities. Software-defined and open technology solutions Software-defined and open technology solutions provide a wider support for any type of application the SOC may need Software-defined and open technology solutions provide a wider support for any type of application the SOC may need, including computer vision. In the modern world, with everything going digital, all security services and applications have become networked, and as such, they belong to IT. AV applications and services have increasingly become an integral part of an organization’s IT infrastructure. Software-defined approach to AV IT teams responsible for data protection are more in favor of a software-defined approach to AV that allow virtualised, open technologies as opposed to traditional hardware-based solutions. Software’s flexibility allows for more efficient refreshment cycles, expansions and upgrades. The rise of AV-over-IP technologies have enabled IT teams in SOC’s to effectively integrate AV solutions into their existing stack, greatly reducing overhead costs, when it comes to technology investments, staff training, maintenance, and even physical infrastructure. AV-over-IP software platforms Moreover, with AV-over-IP, software-defined AV platforms, IT teams can more easily integrate AI and Computer Vision applications within the SOC, and have better control of the data coming in, while achieving true situational awareness. Situational awareness is all about actionable data delivered to the right people, at the right time, in order to address security incidents and challenges. Situational awareness is all about actionable data delivered to the right people Often, the people who need to know about security risks or breaches are not physically present in the operation centers, so having the data and information locked up within the four walls of the SOC does not provide true situational awareness. hyper-scalable visual platforms Instead there is a need to be able to deliver the video stream, the dashboard of the data and information to any screen anywhere, at any time — including desktops, tablets phones — for the right people to see, whether that is an executive in a different office or working from home, or security guards walking the halls or streets. New technologies are continuing to extend the reach and the benefits of security operation centers. However, interoperability plays a key role in bringing together AI, machine learning and computer vision technologies, in order to ensure data is turned into actionable data, which is delivered to the right people to provide ‘true’ situational awareness. Software-defined, AV-over-IP platforms are the perfect medium to facilitate this for any organizations with physical and cyber security needs.

Securing Mobile Vehicles: The Cloud and Solving Transportation Industry Challenges
Securing Mobile Vehicles: The Cloud and Solving Transportation Industry Challenges

Securing Intelligent Transportation Systems (ITS) in the transportation industry is multi-faceted for a multitude of reasons. Pressures build for transit industry players to modernise their security systems, while also mitigating the vulnerabilities, risks, and growth-restrictions associated with proprietary as well as integrated solutions. There are the usual physical security obstacles when it comes to increasingly integrated solutions and retrofitting updated technologies into legacy systems. Starting with edge devices like cameras and intelligent sensors acquiring video, analytics and beyond, these edge devices are now found in almost all public transportation like buses, trains, subways, airplanes, cruise lines, and so much more. You can even find them in the world’s last manually operated cable car systems in San Francisco. The next layer to consider is the infrastructure and networks that support these edge devices and connect them to centralized monitoring stations or a VMS. Without this layer, all efforts at the edge or stations are in vain as you lose the connection between the two. And the final layer to consider when building a comprehensive transit solution is the software, recording devices, or viewing stations themselves that capture and report the video. The challenge of mobility However, the transportation industry in particular has a very unique challenge that many others do not – mobility. As other industries become more connected and integrated, they don’t usually have to consider going in and out or bouncing between networks as edge devices physically move. Obviously in the nature of transportation, this is key. Have you ever had a bad experience with your cellular, broadband or Wi-Fi at your home or office? You are not alone. The transportation industry in particular has a very unique challenge that many others do not – mobility Can you trust these same environments to record your surveillance video to the Cloud without losing any frames, non-stop 24 hours a day, 7 days a week, 365 days a year? To add to the complexity – how do you not only provide a reliable and secure solution when it’s mobile, traveling at varying speeds, and can be in/out of coverage using various wireless technologies? Waiting to upload video from a transport vehicle when it comes into port, the station, or any centralized location is a reactive approach that simply will not do any longer. Transit operations require a more proactive approach today and the ability to constantly know what is going on at any given time on their mobile vehicles, and escalate that information to headquarters, authorities, or law enforcement if needed; which can only occur with real-time monitoring. This is the ultimate question when it comes to collecting, analyzing, and sharing data from mobile vehicles – how to get the video from public transportation vehicles alike to headquarters in real time! Managing video data In order to answer this question, let’s get back to basics. The management and nature of video data differs greatly from conventional (IT) data. Not only is video conducted of large frames, but there are specific and important relationships among the frames and the timing between them. This relationship can easily get lost in translation if not handled properly. This is why it’s critical to consider the proper way to transmit large frames while under unstable or variable networks. The Internet and its protocols were designed more than two decades ago and purposed for conventional data. Although the Internet itself has not changed, today’s network environments run a lot faster, expand to further ranges, and support a variety of different types of data. Because the internet is more reliable and affordable than in the past some might think it can handle anything. However, it is good for data, but not for video. This combination makes it the perfect time to convert video recording to the Cloud! Video transmission protocol One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet. ITS are in dire need for reliable transmission of real-time video recording. To address this need a radical, yet proven, video transmission protocol has recently been introduced to the market. It uses AI technology and to adapt to different environments in order to always deliver high quality, complete video frames. This protocol, when equipped with encryption and authentication, enables video to be transmitted reliably and securely over the Internet in a cloud environment. One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet Finally, transportation industry has a video recording Cloud solution that is designed for (massive) video that can handle networks that might be experiencing high error rate. Such a protocol will not only answer the current challenges of the transportation industry, but also make the previously risky Cloud environment safe for even the most reserved environments and entities. With revolutionary transmission protocols, the time is now to consider adopting private Cloud for your transportation operations.