AerNos-MPS collaboration to stimulate gas sensors market growth

AerNos Inc., and MPS Inc., two of the renowned innovators in the nano gas sensors market and IoT-based smart parking meters sector respectively, have recently announced their collaboration to enhance their product capabilities by combining their core technologies. If sources are to be believed, integrating AerNos’ multiple gas sensing technology with MPS’s smart city parking meter will give the smart cities the ability to track climate gases, air pollution, and infrastructure leaks at a very granular level, 24×7.

For the record, AerNos advanced nano gas sensors, according to tech reports, are configured to parallelly detect multiple harmful gases and are also specifically designed to integrate with IoT devices, such as the smart meters. According to some experts, the soaring demand for smart meters that are used for powering smart cities are most likely to leave a rendering impact on the regional gas sensors industry size.

According to reports, MPS’s robust sensor based parking platform, which is being massively deployed on and off street in the smart cities across Canada and US, will in turn benefit from AerNos advanced gas sensing technology. This collaboration deal will certainly combine the expertise and technological innovations of both the companies to develop new tools that would reduce exposure to air pollution and provide solutions to other serious public health issues, cite sources.

Taking into account the impact of this collaboration, industry analysts speculate the high technological capabilities of advanced gas sensors to accurately detect toxic and combustible gases to ultimately generate lucrative revenue streams for gas sensors market as well as smart metering systems industry.

Sources cite that AerNos will be unveiling a MPS smart meter embedded with its nano gas sensor at the CES 2018 event to be held in Las Vegas. Experts further anticipate this AerNos-MPS collaboration to pave way for health and wellness applications that could be delivered by combining IoT, AI, and predictive analytics acquired from air quality data captured by these nano gas sensors.