When Outdoor Pollution Sends More People to the ER: Why Indoor Air Quality Monitoring Matters A recent study presented at the European Emergency Medicine Congress found that even moderate increases in ambient particulate matter (PM2.5 and PM10)—levels still within World Health Organization guidelines—corresponded with a 10–15% rise in emergency department Read more…
Early last month, the Biden-Harris Administration declared the Clean Air Buildings Challenge. Their goal being to create a clean indoor air plan by developing better ventilation, amplifying air filtration, and encouraging occupants to be more aware of their indoor air quality.
ntilated areas with high levels of CO2 such as some schools, restaurants, and workplaces can cause Covid-19 spread to worsen.
Scented products often used to disinfect surfaces in your home could
release fumes that cause irritation and damage to your respiratory system.
RTLS (Real Time Location System) RTL Systems allow you to track tags and assets throughout a building (or even outdoors in certain circumstances) Location Aware IoT Location Aware IoT Sensors are sensors that incorporate RTLS modules and send sensor data along with position information, allowing customers to localize sensors and Read more…
We have been launching various incremental upgrades over the last few months, but we just launched a major feature update on 08/15/2019 including: Cloud Service – Timezone improvements for Alerts – Added new CSV export with column based ordering and time alignment for use in machine learning applications – Location Read more…
Aretas real time location and analytics are available today! The Aretas Cloud and Edge platforms are ready to work with any location hardware. We’re excited to be launching the most advanced RTLS software solution available on the market! *EDIT 01/07/2019 To learn more about the production features, visit the Read more…
The Aretas IoT Cloud platform was built from the ground up to be highly performance oriented. Using transactional data update pipelines, horizontal micro-service scaling and taking advantage of modern multi-core CPUs and huge memory capacities means we can achieve less than 50ms response times for sensor data packets in the Read more…
Machine Learning (ML), when used correctly is a very useful tool. In essence, ML systems can learn from exposure to training data and predict outcomes when given certain criteria. Researchers and Data Scientists have been using these tools for decades. Aretas has long been using various iterations of machine learning Read more…
The new features we gave a sneak peak for in the December news update (http://www2.aretas.ca/new-features-launching-soon/) are now live! If you have any questions about anything, please contact us.