Access control systems & kits
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Successfully track multiple users and locations instantly with Traka's RFID locker system. Through secure storage and unique RFID tagging capabilities, organizations can strategically manage and control various equipment and important assets. The system simply requires the user to identify oneself by entering a 4-digit PIN, swiping a company magnetic ID card or using their fingerprint if the biometrics reader access is specified. The software will verify the user’s identity and permit access to the lockers and its contents accordingly. Keeping all the data centralized, Traka’s RFID system runs through an ‘advanced locker administration mode,’ which can be controlled from one networked server. In addition to advanced recalibration settings, automatic door features and text and email options for activity notifications, Traka’s lockers can also encompass the following problem-solving abilities: Control and restrict user access to each specific device based on a skill level or need-to-have basis Automatic lock-in for equipment that needs to maintained or updated Ensure that housed devices have had adequate time to recharge since previous use Issue devices on a last-in, last-out basis Determine liability when equipment is returned by someone other than the person of original point of access Capabilities to raise an alert on any item which is not returned on time and automatically send notification to appropriate supervisor
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Human face images, fingerprints, cards and passwords can be recorded to the face recognition access standalone. With face detection box; the largest face among faces that appear at the same time is recognized first; the maximum face size can be configured on the web. Face recognition distance is 0.3m–2m , human height range is 1.1m–2.4m. Face verification accuracy>99%; face comparison speed ≤0.5s per person; false recognition rate<0.1%. Profile faces can be recognized; face recognition angle can be adjusted, the range is 0°–90°. Supports 30,000 users, 30,000 cards, 30,000 passwords, and 50 administrators. Support liveness detection. Supports duress alarm, tamper alarm, intrusion alarm, door contact timeout alarm, and illegal card exceeding time alarm. Has six user levels: general users, patrol users, blacklist users, VIP users, guests, and disabled users. Attendance records can be uploaded to the management platform
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Who's targeting your data? Traka is the leading worldwide specialist in intelligent key and asset management solutions. They manufacture secure systems that allow you to control and audit who has access to your valuable assets – keeping them out of the wrong hands. Traka’s rack manager is an intelligent solution that allows you to restrict rack access to authorized users only. Furthermore, it allows you to maintain a full audit of who has accessed which rack, and when. How easy is it to access your data racks? Traka’s rack manager provides a secure solution to ensuring access is available 24/7 to authorized users only. Who had access to your data racks? Rack manager has full audit capabilities and retains a complete history of all user transactions. Reports can be downloaded quickly and easily via a USB port. How does it work? The rack manager can be fully integrated with your current access control system. The interface to the system is a 7 inch touch sensitive pod, which uses the latest embedded processing technology. With the rack manager all access to data racks is managed via the touch screen pod. Each authorized user identifies themself at the pod (via Smart card, biometrics or PIN) and selects the rack they wish to access. Traka’s rack manager module can manage access to 60 racks/120 doors and drives the entrance and exit doors to server rooms with feedback from both doors and two locks.
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Access control systems & kits - Expert commentary
Back in the 1960s a lead engineer working in conjunction with the United States Navy for Lockheed’s Skunk Works team coined the acronym KISS, which translated to the design principle ‘keep it simple stupid’. The KISS principle embraces the concept of simplicity, stating that most systems work best if they are kept simple rather than geared up to be more complicated. When it comes to physical security systems, this concept can also play a key element in its overall success. Secure work environments For years the tug of war in the security industry has pitted the need for a secure environment against the desire for technology that is convenient for users. However, finding a happy medium between the two has often seemed elusive. I believe you can design and have operational convenience at the same time as achieving high security" Jeff Spivey, a security consultant and the CEO of Security Risk Management, has this to say about it, “If there is an understanding of the security-related risks and their separate and/or collective impact on the organization’s bottom line business goals, a resolution can be reached.” Jeff also does not think that convenience and high security have to be opposing each other. He says, “I believe you can design and have operational convenience at the same time as achieving high security.” Importance of secure access control The premise is that for organizations and spaces to be truly secure, they must be difficult to access. So, by its very nature, access control is designed to be restrictive, allowing only authorized staff and visitors to access a facility or other secured areas inside. This immediately puts convenience at odds with security. Most people will tolerate the restrictive nature of a controlled entrance using badge, card or biometric because they understand the need for security. When that technology gets in the way of staff traversing freely throughout the facility during the course of a business day, or hindering potential visitors or vendors from a positive experience entering the building, they become less tolerant, which often leads to negative feedback to the security staff. Enhancing corporate security Security consultants like Spivey and security directors all stress that understanding the threats and risk levels of an organization will most likely dictate its physical security infrastructure and approach. All the technology in the world is useless if it is not embraced by those who are expected to use it and it doesn’t fit the culture of the organization. Once employees and customers are educated about what security really is, they understand that they're not losing convenience, they're gaining freedom to move safely from point A to point B. Converged data and information shape new access options Migration of physical access control systems to a more network-centric platform is a game-changer for security technologies The migration of physical access control systems to a more network-centric platform has been a game-changer for emerging security technology options. The expansion of the Internet of Things (IoT), Near-Field Communication devices powered by Bluetooth technology, and the explosion of converged information systems and identity management tools that are now driving access control are making it easier than ever before for employees and visitors to apply for clearance, permissions and credentials. Wireless and proximity readers Advancements in high-performance wireless and proximity readers have enhanced the user’s access experience when presenting credentials at an entry and expediting movement throughout a facility. A user is now able to access a secured office from street-level without ever touching a key or card. Using a Bluetooth-enabled smartphone or triggering a facial recognition technology, they enter the building through a security revolving door or turnstile. A total building automation approach adds extra convenience, as well as seamless security, when access technology is integrated into other systems like elevator controls. A total building automation approach adds extra convenience and seamless security How to Meet Security Concerns at the Entry While security managers are charged with providing their facilities the maximum level of security possible, there is always the human element to consider. But does the effort to make people comfortable with their security system ecosystem come at a cost? Does all this convenience and the drive to deliver a positive security experience reduce an organization’s overall levels of security? And if so, how can we continue to deliver the same positive experience including speed of entry – while improving risk mitigation and threat prevention? Door entrances, barriers Users can slip through the door or turnstile barriers while they are still open after a credentialed individual has gone through Let’s examine some of the various types of entrances being used at most facilities and the security properties of each. With some entrance types, there is the possibility for security to fall short of its intended goals in a way that can’t be addressed by access control technology alone. In particular, with many types of doors and barriers, tailgating is possible: users can slip through the door or turnstile barriers while they are still open after a credentialed individual has gone through. To address this, many organizations hire security officers to supervise the entry. While this can help to reduce tailgating, it has been demonstrated that officers are not immune to social engineering and can often be “talked into” letting an unauthorized person into a facility. Deploying video cameras, sensors Some organizations have deployed video surveillance cameras or sensors to help identify tailgaters after the fact or a door left open for longer than rules allow. This approach is not uncommon where facilities have attempted to optimize throughput and maintain a positive experience for staff and visitors. Security staff monitoring the video feeds can alert management so that action can be taken – but this is at best a reactive solution. It does not keep the unauthorized persons from entering, and so is not a totally secure solution. Optical turnstiles, speedgates Security staff should carefully evaluate its facility’s needs and consider the technology that is built into the door itself Security staff should carefully evaluate its facility’s needs and consider the technology that is built into the door itself. Not all security entrances work the same way. And, there will always be a balance between security and convenience – the more secure the entry, the less convenient it is for your personnel and visitors to enter your facility. For example, it takes more time to provide 2-factor authentication and enter through a mantrap portal than to provide only one credential and enter through an optical turnstile or speedgate. Perimeter protection So, it is an important first step to determine what is right at every entrance point within and around the perimeter. Remember that convenience does not equate to throughput. Convenience is the ease and speed of entry experienced by each individual crossing that threshold, while throughput relates to the speed at which many individuals can gain access to the facility. A more convenient entry makes a better first impression on visitors and is good for overall employee morale. Throughput is more functional; employees need to get logged in to begin their workday (and often to clock in to get paid), and they quickly become frustrated and dissatisfied when waiting in a long line to enter or exit the premises. Considering form and function when designing a security entrance can ensure that those requiring both high-security and convenience are appeased.
Imagine a home surveillance camera monitoring an elderly parent and anticipating potential concerns while respecting their privacy. Imagine another camera predicting a home burglary based on suspicious behaviors, allowing time to notify the homeowner who can in turn notify the police before the event occurs—or an entire network of cameras working together to keep an eye on neighborhood safety. Artificial Intelligence vision chips A new gen of AI vision chips are pushing advanced capabilities such as behavior analysis and higher-level security There's a new generation of artificial intelligence (AI) vision chips that are pushing advanced capabilities such as behavior analysis and higher-level security to the edge (directly on devices) for a customizable user experience—one that rivals the abilities of the consumer electronics devices we use every day. Once considered nothing more than “the eyes” of a security system, home monitoring cameras of 2020 will leverage AI-vision processors for high-performance computer vision at low power consumption and affordable cost—at the edge—for greater privacy and ease of use as well as to enable behavior analysis for predictive and preemptive monitoring. Advanced home monitoring cameras With this shift, camera makers and home monitoring service providers alike will be able to develop new edge-based use cases for home monitoring and enable consumers to customize devices to meet their individual needs. The result will be increased user engagement with home monitoring devices—mirroring that of cellphones and smart watches and creating an overlap between the home monitoring and consumer electronics markets. A quick step back reminds us that accomplishing these goals would have been cost prohibitive just a couple of years ago. Face recognition, behavior analysis, intelligent analytics, and decision-making at this level were extremely expensive to perform in the cloud. Additionally, the lag time associated with sending data to faraway servers for decoding and then processing made it impossible to achieve real-time results. Cloud-based home security devices The constraints of cloud processing certainly have not held the industry back, however. Home monitoring, a market just seven years young, has become a ubiquitous category of home security and home monitoring devices. Consumers can choose to install a single camera or doorbell that sends alerts to their phone, a family of devices and a monthly manufacturer’s plan, or a high-end professional monitoring solution. While the majority of these devices do indeed rely on the cloud for processing, camera makers have been pushing for edge-based processing since around 2016. For them, the benefit has always been clear: the opportunity to perform intelligent analytics processing in real-time on the device. But until now, the balance between computer vision performance and power consumption was lacking and camera companies weren’t able to make the leap. So instead, they have focused on improving designs and the cloud-centric model has prevailed. Hybrid security systems Even with improvements, false alerts result in unnecessary notifications and video recording Even with improvements, false alerts (like tree branches swaying in the wind or cats walking past a front door) result in unnecessary notifications and video recording— cameras remain active which, in the case of battery powered cameras, means using up valuable battery life. Hybrid models do exist. Typically, they provide rudimentary motion detection on the camera itself and then send video to the cloud for decoding and analysis to suppress false alerts. Hybrids provide higher-level results for things like people and cars, but their approach comes at a cost for both the consumer and the manufacturer. Advanced cloud analytics Advanced cloud analytics are more expensive than newly possible edge-based alternatives, and consumers have to pay for subscriptions. In addition, because of processing delays and other issues, things like rain or lighting changes (or even bugs on the camera) can still trigger unnecessary alerts. And the more alerts a user receives, the more they tend to ignore them—there are simply too many. In fact, it is estimated that users only pay attention to 5% of their notifications. This means that when a package is stolen or a car is burglarized, users often miss the real-time notification—only to find out about the incident after the fact. All of this will soon change with AI-based behavior analysis, predictive security, and real-time meaningful alerts. Predictive monitoring while safeguarding user privacy These days, consumers are putting more emphasis on privacy and have legitimate concerns about being recorded while in their homes. Soon, with AI advancements at the chip level, families will be able to select user apps that provide monitoring without the need to stream video to a company server, or they’ll have access to apps that record activity but obscure faces. Devices will have the ability to only send alerts according to specific criteria. If, for example, an elderly parent being monitored seems particularly unsteady one day or seems especially inactive, an application could alert the responsible family member and suggest that they check in. By analyzing the elderly parent’s behavior, the application could also predict a potential fall and trigger an audio alert for the person and also the family. AI-based behavior analysis Ability to analyze massive amounts of data locally and identify trends is a key advantage of AI at the edge The ability to analyze massive amounts of data locally and identify trends or perform searches is a key advantage of AI at the edge, for both individuals and neighborhoods. For example, an individual might be curious as to what animal is wreaking havoc in their backyard every night. In this case, they could download a “small animal detector” app to their camera which would trigger an alert when a critter enters their yard. The animal could be scared off via an alarm and—armed with video proof—animal control would have useful data for setting a trap. Edge cameras A newly emerging category of “neighborhood watch” applications is already connecting neighbors for significantly improved monitoring and safety. As edge cameras become more commonplace, this category will become increasingly effective. The idea is that if, for example, one neighbor captures a package thief, and then the entire network of neighbors will receive a notification and a synopsis video showing the theft. Or if, say, there is a rash of car break-ins and one neighbor captures video of a red sedan casing their home around the time of a recent incident, an AI vision-based camera could be queried for helpful information: Residential monitoring and security The camera could be asked for a summary of the dates and times that it has recorded that particular red car. A case could be made if incident times match those of the vehicle’s recent appearances in the neighborhood. Even better, if that particular red car was to reappear and seems (by AI behavior analysis) to be suspicious, alerts could be sent proactively to networked residents and police could be notified immediately. Home monitoring in 2020 will bring positive change for users when it comes to monitoring and security, but it will also bring some fun. Consumers will, for example, be able to download apps that do things like monitor pet activity. They might query their device for a summary of their pet’s “unusual activity” and then use those clips to create cute, shareable videos. Who doesn’t love a video of a dog dragging a toilet paper roll around the house? AI at the Edge for home access control Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring, and it’s an application that is expected to take off soon. With smart biometrics, cameras will be able to recognize residents and then unlock their smart front door locks automatically if desired, eliminating the need for keys. And if, for example, an unauthorized person tries to trick the system by presenting a photograph of a registered family member’s face, the camera could use “3D liveness detection” to spot the fake and deny access. With these and other advances, professional monitoring service providers will have the opportunity to bring a new generation of access control panels to market. Leveraging computer vision and deep neural networks Ultimately, what camera makers strive for is customer engagement and customer loyalty. These new use cases—thanks to AI at the edge—will make home monitoring devices more useful and more engaging to consumers. Leveraging computer vision and deep neural networks, new cameras will be able to filter out and block false alerts, predict incidents, and send real-time notifications only when there is something that the consumer is truly interested in seeing. AI and computer vision at the edge will enable a new generation of cameras that provide not only a higher level of security but that will fundamentally change the way consumers rely on and interact with their home monitoring devices.
The cyber security threat is constant and real. Entire businesses, large enterprises and even whole cities have been vulnerable to these attacks. Growing threat of cyber attacks The threat is not trivial. Recently, two cities in Florida hit by ransom ware attacks – Rivera Beach and Lake City – opted to capitulate and pay ransom totaling more than $1.1 million to hackers. The attacks had disrupted communications for first responders and crippled online payment and traffic-ticketing systems. It was reminiscent of the $4 billion global WannaCry attacks on financial and healthcare companies. A full two years after the WannaCry attack, many of the hundreds of thousands of computers affected remain infected. And hackers are continuously devising new techniques, adapting the latest technology innovations including machine learning and artificial intelligence to devise more destructive forms of attack. Indeed, AI promises to become the next major weapon in the cyber arms race. For enterprises, there is no choice but to recognize the threat and adopt effective countermeasures Enterprise security For enterprises, there is no choice but to recognize the threat and adopt effective countermeasures. Not surprisingly, as the number, scale and sophistication of cyber-attacks has grown, so has the significance of the Chief Information Security Officer, or CISO, who owns the responsibility of sounding the alarm to the C-suite and the board – and recommending the best defense strategies. Consider it a grim irony of the digital economy. As companies have migrated to the cloud to gain scale and efficiency and integrated new channels and touch points to make it easier for their customers and suppliers to do business with them, they have also created more potential points of entry for cyber-attacks. IoT Increases Threat of cyber-attacks Amplifying that vulnerability is the trend of allowing employees to bring their own laptops, smartphones and other digital devices to the office or use to work remotely. And thanks to the Internet of Things, as more devices connect to enterprise systems – from thermostats to cars – the threat surface or targets of intrusion are multiplying exponentially. According to the McAfee Labs 2019 Threats Predictions Report, hackers will increasingly turn to AI to help them evade detection and automate their target selection. Companies will have no choice but to begin adopting AI defenses to counter these cybercriminals. Importance of cyber security This escalation in the cyber arms race reflects the sheer volume of data and transactions in modern life. In businesses like financial services and healthcare it is not humanly possible to examine every transaction for anomalies that might signal cyber snooping. Even when oddities are glimpsed, simply flagging potential problems can create so-called threat fatigue from endless false alarms. What’s more, attacks like those from Trickbots are specifically designed to go undetected by end users. The fact is, even if throwing more people at the problem were a solution, there aren’t enough skilled cyber security workers in the world. By some estimates, as many as 10 million cyber security jobs now go unfilled. AI is being used to conduct predictive analysis at a scale beyond human means Deploying AI As a result, AI is being deployed on multiple cyber-defense fronts. So far, it is mainly being used to conduct predictive analysis at a scale beyond human means. AI programs can sift through petabytes of data, identifying anomalies and even helping an organization recognize and diagnose intrusions before they turn into catastrophic attacks. AI can also be used to continually monitor and allocate levels of access to a network’s multitude of legitimate users – whether employees, customers, partners or suppliers – to ensure that all parties have the access they need, but only the access they need. Countering cyber security threats To harden defenses, some AI programs can be configured to perform simulated war games To harden defenses, some AI programs can be configured to perform simulated war games. Because cyber attackers have stealth on their side, organizations might need dozens of experts to counter only a handful of attackers. AI can help even the odds, scoping out the potential permutations of vulnerabilities. As CISOs – and the CIOs they typically report to – advise C-suites and boards on their growing cybersecurity risk, they can also help those leaders recognize an enduring truth: AI programs cannot replace experienced cybersecurity professionals. But the technology can make staff smarter, more vigilant and more nimbly responsive. AI-based cyber security tools Financial and healthcare companies are leading this charge because of the sheer volume and variety of transactions they handle and because of the value and sensitivity of the data. Organizations like the U.S. Department of Defense and the space agency NASA, as well as governments around the world are also implementing AI-based tools to address the cyber threat. For businesses of all types, the threat stretches from the back office to the supply chain to the store front. That is why recognizing and countering that threat must involve everyone from the CISO to the CEO to the Chairman of the Board. The AI arms race is underway in security. To delay joining it is to risk letting your enterprise become one of the grim statistics.
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