Smart Monitoring
Real-time environmental data collection and analysis for optimal indoor conditions.
Monitoring System based in IoT and AI aimed at detecting environments conducive to respiratory diseases and health discomfort
System based on Big Data, IoT and Artificial Intelligence for the monitoring and analysis of air quality in closed environments, in real time, with the purpose of determining the level of risk of contagion of lung diseases and sick building syndrome.
Real-time environmental data collection and analysis for optimal indoor conditions.
Helping businesses reduce their environmental impact through efficient resource management.
Dedicated professionals with years of experience in IoT and environmental science.
Tailored monitoring solutions for various industries and business needs.
Continuous monitoring of temperature, humidity, and air quality to ensure a healthier, more comfortable environmen
Temperature
23°C
Optimal range: 20-25°C
Humidity
45%
Optimal range: 30-50%
Air Quality
Good
PM2.5, CO2, VOCs monitored
Advanced IoT technology delivering precise, real-time environmental data for healthier and more efficient living and working spaces.
High-precision IoT sensors for accurate measurements
Perfect for residential spaces and home offices
Ideal for offices, schools, and public buildings
Share data with family members or team
A dedicated group of innovators and experts committed to advancing air quality solutions through cutting-edge technology and sustainable practices.
Lead Researcher
Ph.D. and MSc in Computer Science (UFF, Brazil). Assistant Professor in Big Data/AI at SENAI/CIMATEC. Research interests include AI, Data Science, Computer Vision, and Image Processing, with a focus on practical applications and innovations in these fields.
Lead Researcher
Ph.D. candidate in IT (UPAEP) with a background in Computational Technologies (Tec de Monterrey) and IT Management (Tecmilenio). Experienced in software engineering and certified in Digital Forensics, Data Science, and AI.
Lead Researcher
Ph.D. in Computer Science and Telecommunications (INPT, France). Holds a Master's (UDLAP) and Bachelor's (BUAP) in Computer Science. Former professor and researcher in Portugal, Brazil, and Mexico, where she led UPAEP’s IT Faculty. Published author and researcher in IoT, cybersecurity, and computer networks.
JavaScript Developer
Full-Stack Web Developer specialized in the JavaScript ecosystem. Software Development Engineering student at UPAEP. Passionate about creating innovative projects and developing efficient solutions. He is dedicated to teaching, delivering programming classes at various difficulty levels. Additionally, he creates educational content on social media
Lead Researcher
Ph.D. in Informatics and Telecommunications (Université Paul Sabatier, France) with research at LAAS-CNRS. Experienced in R&D projects, focusing on sustainable cities, communication networks, multimedia systems, VR/AR, and cybersecurity, with publications in international journals and conferences.
Lead Researcher
Computer and Commercial Engineer, Ph.D. student in IT and Electronic Business (UPAEP). Holds multiple master's degrees in AI, Neuromarketing, Auditing, Computer Science, and Business Management. Active researcher in AI, neuroscience, and business, collaborating internationally with experts from Brazil and Mexico.
Stay up to date with the latest insights, trends, and innovations in environmental monitoring and sustainability.
Discover practical tips for maintaining a healthy environment at home.
March 15th, 2024.
Leer CompletoDiscover practical tips for maintaining a healthy environment at home.
March 15th, 2024.
Leer CompletoDiscover practical tips for maintaining a healthy environment at home.
March 15th, 2024.
Leer CompletoLet's team up to improve air quality!