Month: April 2019

Broadband Adoption in the Critical Communications Industry With the growing appetite for broadband-enabled data applications, and the increasing possibility of spectrum allocation in many parts of the world, the market for private/ hybrid broadband networks for private mobile radio (PMR) users will continue to expand across multiple sectors. As a result, the critical communications industry…

Licensed Mobile Radio Trends Overview Licensed mobile radio (LMR) deployments continue to increase globally, despite the emergence of LTE solutions onto the world stage and 5G on the horizon. Government and commercial sectors increasingly rely on LMR for secure, instant and reliable voice communications, so cost-optimized digital technologies, TETRA, P25, TETRAPOL and other major digital…

SaaS Driving Next Generation Emergency Response By – Alex Richardson The transition toward SaaS, a shift, while very much underway in the consumer and commercial sectors, has been picking up pace significantly over the last year in the public safety sector. Historically, agencies in the United States in this case, had been very hesitant to deploy solutions…

Electronic Access Control Systems: Year-end Review and Forecast IHS Markit projects that the market for physical electronic access control solutions has grown to over $5.2 billion in 2018. The market has experienced stable and predictable growth rates that have hovered around 6 percent over the past several years. Electronic locks remain both the largest and the…

App Stores for the Security Industry An increasing number of vendors are marketing app ecosystems for video surveillance cameras. This is a further manifestation of increased processing power at the edge and a de-centralized architecture. However, apps for video surveillance cameras are not a new concept. The revival of app based ecosystems has synced with the…

Deep Learning Analytics at the Edge In 2018 deep learning analytics were nearly all processed either on a server or in the cloud, not at the edge. However, 2019 will be the year of the embedded deep learning application specific integrated circuit (ASIC) system on a chip (SOC). Due to the power requirements of current…

Deep Learning Analytics at the Edge In 2018 deep learning analytics were nearly all processed either on a server or in the cloud, not at the edge. However, 2019 will be the year of the embedded deep learning application specific integrated circuit (ASIC) system on a chip (SOC). Due to the power requirements of current…