As Silver-level partners, the three companies will receive exposure through several events including the upcoming 2014 Electronic Security Expo
As Silver-level partners, the three companies will receive exposure through all available media and several events

The Electronic Security Association (ESA) is honored to announce that ADI, Altronix and Security America Risk Retention Group have pledged their support as Silver-level Executive Strategic Partners for 2014.

Available only to ESA associate members, the Executive Strategic Partnership program was established in 2008 to provide funding in order to support ESA programs that promote and enhance the industry. As Silver-level partners, the three companies will receive valuable and powerful exposure through all available media and several events including the upcoming 2014 Electronic Security Expo (ESX) on June 22-26 in Nashville, Tenn.

ADI

ADI is a leading distributor of security and low voltage products, with 99 convenient branch locations across North America. ADI solutions include intrusion, fire, video surveillance, access, power, A/V, networking, telephony, central vac, tools & hardware, and wire & cable.

The ESA plays an important role in the security industry and we are pleased to support them and return as an ESA Silver-level Executive Strategic Partner for 2014,” said John Sullivan, senior vice president of sales at ADI.

Altronix

Altronix Corporation is a leading designer and manufacturer of low voltage electronic components. Altronix offers a comprehensive line of security, fire, CCTV, access, nurse call and automation products. In addition to producing a wide range of components, Altronix offers OEM design and manufacturing services to create custom electronics for commercial and industrial applications. Altronix serves both domestic and international markets through a worldwide network of distributors.

“We greatly appreciate the important work of the ESA to help ensure the continued prosperity of the professional security industry into the future,” said President of Altronix Alan Forman. “The activities of the ESA result in many benefits for its members and security professionals across our industry.”

Security America Risk Retention Group

Security America Risk Retention Group (RRG) is an insurance company that provides affordable general liability and errors & omissions insurance coverage. Developed by ESA, Security America RRG is designed to meet the needs of the electronic life safety, security, and systems professionals. Domiciled in Vermont, Security America RRG is registered in all 50 U.S. states and recently celebrated its 10th year of service.

“Security America Risk Retention Group is proud to serve as a Silver Executive Partner with ESA for another year,” said Michael Keegan, president of Security America RRG. “We believe our sponsorship supports the mission of ESA, the industry as a whole, and ultimately the best interest our shareholders."

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The EU called for a ban on police use of facial recognition but not commercial use. Why?
The EU called for a ban on police use of facial recognition but not commercial use. Why?

Recently, the European Parliament called for a ban on police use of facial recognition. In the US, too, some cities have restricted police use of facial recognition. The first question that comes to mind is - why ban police from using technology that is allowed to private companies? Point of difference The key difference between the way police use facial recognition and the way commercial facial recognition products work is that: The police get a picture of a suspect from a crime scene and want to find out: "Who is the person in the picture?" That requires as wide a database as possible. Optimally - photos and identities of all the people in the world. Commercial facial recognition products such as those used by supermarkets, football stadiums, or casinos answer different questions: "Is the person in the picture on the employees' list? Is the person in the picture on a watch-list of known shoplifters?" To answer these questions doesn't require a broad database but rather a defined list of employees or a watch-list of specific people against whom there is an arrest warrant or a restraining order. Use of facial recognition AnyVision helps organisations leverage facial recognition ethically to identify known persons of interest "Facial Recognition Apps Should Be Provided to the Police with an Empty Database". This is exactly the subject of the open letter sent by AnyVision, to the British Biometrics and Surveillance Camera Commissioner, Prof. Fraser Sampson, titled: "Facial Recognition Apps Should Be Provided to the Police with an Empty Database". AnyVision recently raised $235M from Softbank and another leading VCs is a visual AI platform company that helps organisations across the globe leverage facial recognition ethically to identify known persons of interest, including shoplifters, felons, and security threats. Ethical use of facial recognition AnyVision CEO Avi Golan wrote, "The ethical use of facial recognition is a thorny one and requires a nuanced discussion. Part of that discussion has to explain how facial recognition works, but, just as important, the discussion must also involve how the technology is used by police departments and what checks and balances are built into their processes.” “We recommend building their watchlists from the ground up based on known felons, persons of interest, and missing persons. Some facial recognition solution providers have scrapped billions of photos and identities of people from social networks, usually without their consent." "Unfortunately, this method of facial recognition has justifiably angered privacy groups and data protection agencies around the globe and damaged the public trust in accuracy and reliability of facial recognition systems.” Preventing invasion of citizen’s privacy We believe an unjustified invasion of citizens' privacy can be prevented, false arrests can be reduced" “We believe that lists of suspects should be limited and justified. In this way, unjustified invasion of citizens' privacy can be prevented, false arrests can be reduced and public confidence in technology can be increased.” Golan added: "AnyVision is willing to share its industry insights and best practices from our vast research experience with leading global players, including name-brand retailers, global hospitality and entertainment companies, and law enforcement agencies from around the world.” Balancing public order and crime prevention “If the regulations set forth by Surveillance Camera Code of Practice are committed to the principles outlined above, then law enforcement agencies can strike the right balance between the need to maintain public order and prevent crime with the rights of every person to privacy and non-discrimination before the law." Recently Clearview AI CEO told Wired; the company has scraped 10 billion photos from the web - 3 times more than was previously known.

Sensor data fusion for more reliable intrusion alarm systems
Sensor data fusion for more reliable intrusion alarm systems

Intrusion alarm systems are currently facing a growing number of potential error sources in the environment. At the same time, alarm systems must comply with increasingly demanding legal requirements for sensors and motion detectors. As a future-proof solution, detectors equipped with Sensor Data Fusion technology raise the level of security while reducing the risk of cost- and time-intensive false alarms. This article provides a comprehensive overview of Sensor Data Fusion technology. Anti-masking alarms A cultural heritage museum in the South of Germany for decades, the installed intrusion alarm system has provided reliable protection on the premises. But suddenly, the detectors trigger false alarms every night after the museum closes. The system integrators are puzzled and conduct extensive tests of the entire system. When they finally identify the culprit, it’s unexpected: As it turns out, the recently installed LED lighting system in the museum’s exhibition spaces radiates at a wavelength that triggers anti-masking alarms in the detectors. Not an easy fix situation, since a new lighting system would prove far too costly. Ultimately, the integrators need to perform extensive detector firmware updates and switch to different sensor architecture to eliminate the error source.  This scenario is by no means an isolated incident, but part of a growing trend. Need for reliable detector technology Legal requirements for anti-masking technology are becoming stringent in response to tactics by criminals The number of potential triggers for erroneous alarms in the environment is on the rise. From the perspective of system operators and integrators, it’s a concerning development because every false alarm lowers the credibility of an intrusion alarm system. Not to mention steep costs: Every false call to the authorities comes with a price +$200 tag.   Aside from error sources in the environment, legal requirements for anti-masking technology are becoming more stringent in response to ever more resourceful tactics employed by criminals to sidestep detectors. What’s more, today’s detectors need to be fortified against service outages and provide reliable, around-the-clock operability to catch intruders in a timely and reliable fashion. Sensor Data Fusion Technology In light of these demands, one particular approach has emerged as a future-proof solution over the past few years: Sensor Data Fusion technology, the combination of several types of sensors within one detector – designed to cross-check and verify alarm sources via intelligent algorithms – holds the keys to minimising false alarms and responding appropriately to actual alarm events. This generation of detectors combines passive infrared (PIR) and microwave Doppler radar capabilities with artificial intelligence (AI) to eliminate false alarm sources without sacrificing catch performance. Motion detectors equipped with Sensor Data Fusion technology present a fail-proof solution for building security “It’s not about packing as many sensors as possible into a detector. But it’s about including the most relevant sensors with checks and balances through an intelligent algorithm that verifies the data for a highly reliable level of security. The result is the highest-possible catch performance at the minimum risk for erroneous alarms,” said Michael Reimer, Senior Product Manager at Bosch Security Systems. Motion detectors with sensor data fusion Looking ahead into the future, motion detectors equipped with Sensor Data Fusion technology not only present a fail-proof solution for building security. The comprehensive data collected by these sensors also unlock value beyond security: Constant real-time information on temperature and humidity can be used by intelligent systems and devices in building automation. Integrated into building management systems, the sensors provide efficiency improvements and lowering energy costs Integrated into building management systems, the sensors provide the foundation for efficiency improvements and lowering energy costs in HVAC systems. Companies such as Bosch support these network synergies by constantly developing and optimising intelligent sensors. On that note, installers must be familiar with the latest generation of sensor technology to upgrade their systems accordingly, starting with a comprehensive overview of error sources in the environment. Prominent false alarm triggers in intrusion alarm systems The following factors emerge as frequent triggers of false alarms in conventional detectors: Strong temperature fluctuations can be interpreted by sensors as indicators of a person inside the building. Triggers range from floor heating sources to strong sunlight. In this context, room temperatures above 86°F (30°C) have proven particularly problematic. Dust contamination of optical detectors lowers the detection performance while raising susceptibility to false alarms. Draft air from air conditioning systems or open windows can trigger motion sensors, especially when curtains, plants, or signage attached to the ceilings (e.g. in grocery stores) are put in motion. Strong light exposure directly on the sensor surface, e.g. caused by headlights from passing vehicles, floodlights, reflected or direct sunlight – all of which sensors may interpret as a flashlight from an intruder. Extensive bandwidth frequencies in Wi-Fi routers can potentially confuse sensors. Only a few years ago, wireless routers operated on a bandwidth of around 2.7GHz while today’s devices often exceed 5GHz, thereby catching older detectors off guard. LED lights radiating at frequencies beyond the spectrum of visible light may trigger sensors with their infrared signals. Regarding the last two points, it’s important to note that legislation provides clear guidelines for the maximum frequency spectrum maintained by Wi-Fi routers and LED lighting. Long-term security But the influx of cheap and illegal products in both product groups – products that do not meet the guidelines – continues to pose problems when installed near conventional detectors. For this reason, Sensor Data Fusion technology provides a reliable solution by verifying alarms with data from several types of sensors within a single detector. Beyond providing immunity from false alarm triggers, the new generation of sensors also needs to comply with the current legislature. These guidelines include the latest EN50131-grade 3, and German VdS class C standards with clear requirements regarding anti-masking technology for detecting sabotage attempts. This is exactly where Sensor Data Fusion technology provides long-term security. Evolution of intrusion detector technology Initially, motion detectors designed for intrusion alarm systems were merely equipped with a single type of sensor; namely passive infrared technology (PIR). Upon their introduction, these sensors raised the overall level of building security tremendously in automated security systems. But over time, these sensors proved limited in their catch performance. As a result, manufacturers began implementing microwave Doppler radar capabilities to cover additional sources of intrusion alarms. First step detection technology In Bosch sensors, engineers added First Step detection to trigger instant alarms upon persons entering a room Over the next few years, sensors were also equipped with sensors detecting visible light to catch flashlights used by burglars, as well as temperature sensors. In Bosch sensors, engineers added proprietary technologies such as First Step detection to trigger instant alarms upon persons entering a room. But experience in the field soon proved, especially due to error sources such as rats and other animals, that comprehensive intrusion detection demands a synergetic approach: A combination of sensors aligned to cross-check one another for a proactive response to incoming signals. At the same time, the aforementioned bandwidth expansion in Wi-Fi routers and LED lighting systems required detectors to implement the latest circuit technology to avoid serving as ‘antennas’ for undesired signals. Sensor data fusion approach At its very core, Sensor Data Fusion technology relies on the centralised collection of all data captured by the variety of different sensors included in a single detector. These data streams are directed to a microprocessor capable of analysing the signals in real-time via a complex algorithm. This algorithm is the key to Sensor Data Fusion. It enables the detector to balance active sensors and adjust sensitivities as needed, to make truly intelligent decisions regarding whether or not the data indicates a valid alarm condition – and if so, trigger an alarm. Advanced verification mechanisms The current generation of Sensor Data Fusion detectors, for instance from Bosch, feature advanced verification mechanisms, including Microwave Noise Adaptive Processing to easily differentiate humans from false alarm sources (e.g. ceiling fans or hanging signs). For increased reliability, signals from PIR and microwave Doppler radar are compared to determine whether an actual alarm event is taking place. Additionally, the optical chamber is sealed to prevent drafts and insects from affecting the detector, while the detector is programmed for pet and small animal immunity. Sensor cross-verification Further types of sensors embedded in current and future generations of Sensor Data Fusion detectors include MEM-sensors as well as vibration sensors and accelerometers. Ultimately, it’s important to keep in mind that the cross-verification between sensors serves to increase false alarm immunity without sacrificing the catch performance of actual intruders. It merely serves to cover various indicators of intrusion. Protecting UNESCO World Cultural Heritage in China Intelligent detectors equipped with Sensor Data Fusion are protecting historic cultural artifacts in China from theft and damage. At the UNESCO-protected Terracotta Warriors Museum site, one hundred TriTech motion detectors from Bosch with PIR and microwave Doppler radar technology safeguard the invaluable treasures against intruders. To provide comprehensive protection amid the specific demands of the museum site, the detectors have been installed on walls and ceilings to safeguard the 16,300-square-meter museum site. To ensure an optimal visitor experience without interference from glass walls and other barriers, many detectors are mounted at a height of 4.5 meters (15 feet) above ground under the ceiling. Despite their height, the detectors provide accurate data around the clock while exceeding the performance limits of conventional motion detectors, which clock out at a mere 2 meters (6 feet) catchment area. Integrated video systems The site also presents additional error sources such as large amounts of dust that can contaminate the sensors, as well as visitors accidentally dropping their cameras or mobile phones next to museum exhibits. To distinguish these events from actual criminal activity, the intrusion alarm system is integrated with the museum’s video security system. This allows for verifying alarm triggers with real-time video footage at a fast pace: In the case of an actual alarm event, the system alerts the on-site security personnel in the control room in less than two seconds. Added value beyond security Sensor Data Fusion technology provides a viable solution for the rising number of error sources in the environment As of today, Sensor Data Fusion technology already provides a viable solution for the rising number of error sources in the environment while providing legally compliant building security against intruders. In light of future developments, operators can leverage significant added value from upgrading existing systems – possibly without fundamentally replacing current system architecture – to the new detector standard. Added value how? On one hand, the detectors can integrate with access control, video security, voice alarm, and analytics for a heightened level of security. These synergetic effects are especially pronounced on end-to-end platforms like the Bosch Building Management system. On the other hand, the data streams from intelligent detectors also supply actionable intelligence to building automation systems, for instance as the basis for efficiency improvements and lowering energy consumption in HVAC systems. New backward-compatible detectors Bosch will release a new series of commercial detectors by end of 2021, based on the latest research on risk factors for false alarm sources in the environment and line with current legislation and safety standards. Throughout these developments, installers can rest assured that all new detectors are fully backward compatible and work with existing networking/architecture. With that said, Sensor Data Fusion technology emerges as the key to more secure intrusion alarm systems today and in the future. TriTech detectors from Bosch For reliable, fail-proof alarms the current series of TriTech detectors from Bosch relies on a combination of different sensor data streams, evaluated by an integrated algorithm. These Sensor Data Fusion detectors from Bosch combine up to five different sensors in a single unit, including: Long-range passive infrared (PIR) sensor Short-range PIR sensor Microwave sensor White light sensor Temperature sensor Equipped with these sensors, TriTech detectors are capable of detecting the most frequent sources of false alarms; from headlights on passing cars to a mouse passing across the room at a 4.5-meter distance to the detector. What’s more, TriTech detectors provide reliable performance at room temperatures above 86°F (30°C) while fully guarding against actual intrusion and sabotage attempts from criminals.

Get the most from investments in building security
Get the most from investments in building security

From analogue to digital, from stand-alone to interlinked, building systems are in a state of transition. Moreover, the rate of change shows no sign of slowing, which can make it difficult to keep up to date with all the latest developments. If asked to pinpoint the single biggest driver of this revolution, one could point out the growing clamour for platform convergence. A security guard in a building doesn’t want to use different systems to check video cameras, fire alarms or if someone has entered a restricted area: – it simply isn’t efficient. For similar reasons, a building manager wants a single interface to control heating and lighting to match fluctuating occupancy levels, particularly in a hybrid working model. Applying the digital glue The demand from end-users for system convergence is growing, but to achieve full interoperability you still need to apply some ‘digital glue’ and that requires expertise. Yet bringing together disparate systems from different manufacturers can be problematic. Just as you get things to work, someone upgrades their solution and your carefully implemented convergence can start to come unstuck. Managing an implementation can quickly become more complicated, today’s quick-fix can become tomorrow’s headache This is one of the principal issues with all types of new technology; not everyone will choose the same path to reach the desired goal – it’s the old VHS/Betamax argument updated for building management and security systems. Managing and maintaining an implementation can quickly become more complicated than it first appears and without proper oversight, today’s quick-fix can become tomorrow’s technical headache. Effective support for a hybrid workforce Today’s hybrid workforce is a response to the pandemic that looks set to become an established part of working life for many companies across the world. Security systems have a massive role to play in facilitating this transformation that goes beyond simple intrusion detection, access control, and video monitoring. They can identify the most densely populated areas in a building to comply with social distancing guidelines and provide efficient use of space. The insights gathered from a security system can also be used to identify patterns of behaviour, which can then be used for planning and directing the use of building space to help create the best possible working environment while also minimising heating, lighting, and air conditioning expenditures. Identity credentials can help manage compliance with industry regulations by limiting access to certain areas Similarly, identity credentials – either biometric or mobile-based – can help manage compliance to industry regulations by limiting access to certain areas only to approved employees. Creating and maintaining the appropriate level of functionality requires a combination of innovative solutions and industry experience. The complete security package It’s not just physical security that’s important – cybersecurity is a major focus, too. Bringing together both the physical security and cybersecurity realms is increasingly becoming a ‘must have’ capability. What is evident is that the pace of technological change is faster than ever. Today’s functionality simply wouldn’t have been possible just a few years ago, while today’s leading-edge developments may seem commonplace in five years.