Ian Smith is Managing Director of Abelon Systems.

Covid-19 Update

In these challenging times, we wanted to take a moment to update you on how Abelon Systems are responding to the coronavirus.

Our hearts are with everyone who has been impacted by this virus across the community. In the midst of a pandemic, we are reminded of how quickly things can change and that we should take nothing for granted. We’re continuously monitoring the evolution of the coronavirus epidemic (COVID-19) and its impact on our staff and customers, and our main objective is to balance employee safety with business continuity. 

All our staff are now working remotely and we are continuing to operate as normally as possible. We are making full use of conferencing platforms such as MS Teams, Zoom, Skype, etc. not forgetting good old voice calls and email. Development on existing projects is continuing and we are striving to ensure that these exceptional working conditions have as little impact as possible.

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Rise of the (Embedded) Machines

Machine Learning (ML) is traditionally associated with large servers and enormous amounts of computing power. However recent improvements in both the efficiency of the algorithms and processing platforms mean that it is now possible to include ML functionality on much smaller embedded systems.

This article covers some of the advantages and challenges of distributed machine learning applications, discusses some of the suitable ML methodologies for use in an embedded environment, and finally looks at some of the pitfalls for the unwary.
For the last 15 or 20 years Machine Learning has become one of the key building blocks of IT systems and has become part of all of our lives, albeit mostly a hidden one. The ever increasing amounts of available data require increasing sophisticated processing techniques and the advances in ML over this period have been quite mind blowing.

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Keeping It Simple - Smart Building IoT Security

Things ain’t what they used to be …

The emergence of reliable, low-power, low-cost ‘Internet–of–Things’ (IoT) devices has made it economical to deploy advanced Building Management Systems (BMS) into small to medium - sized buildings, but the relative simplicity of those devices (basic sensors, actuators and communications stacks) could expose those buildings to the threat of cyber-attack, with potentially catastrophic consequences.

An integrated BMS monitors, manages and controls the critical systems within a building - HVAC, lighting, security, fire alarms, access control and more; a sophisticated attack could disrupt, disable or damage these vital support systems.
Deployment of these systems is growing rapidly; according to Gartner around 45% of the 1.1 billion connected things in 2015 were devices in smart buildings and homes and this total is set to explode to around 21 billion devices in a global smart building market estimated to be worth $36bn by 2020.

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Abelon Systems achieves ISO9001:2015 Certification

Abelon Systems are delighted to announce that we have successfully transitions our integrated Quality Management System to the latest ISO 9001:2015 standard.

Abelon has been certified to ISO9001 for the development of Embedded Systems and Solutions since 2008, and this is another step towards maintaining the high level of quality product delivery that we are well known for.

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Abelon IoT Reference Platform featured in PC World Article

The recently announced IoT Reference Platform from Abelon Systems has been included in a Bluetooth 5 product review article from PC World. Alongside products from well-respected vendors Texas Instruments and Nordic Semiconductor, the Abelon platform is one of the first to support the new Bluetooth 5 standard to help our customers reduce costs and timescales for new product development.

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