Smart building, which delivers useful companies to residents at lowest value and maximum comfort, has gained increasing consideration in recent times. A variety of emerging data applied sciences have been adopted in fashionable buildings, similar to wireless sensor networks, internet of issues, big information analytics, deep machine learning, etc. Most people agree that a wise building needs to be energy efficient, https://occupancysensor.gumroad.com/ and consequently, occupancy sensor 88-0893-xy rather more reasonably priced to constructing homeowners. Building operation accounts for major portion of vitality consumption within the United States. HVAC (heating, ventilating, and air conditioning) gear is a particularly expensive and vitality consuming of building operation. As a result, the concept of “demand-driven HVAC control” is at the moment a growing research matter for sensible buildings. On this work, we investigated the issue of building occupancy estimation by using a wireless CO2 sensor network. The focus stage of indoor CO2 is a good indicator of the variety of room occupants, while protecting the personal privateness of building residents. As soon as indoor CO2 stage is noticed, HVAC tools is aware of the variety of room occupants. HVAC gear can regulate its operation parameters to fit demands of these occupants. Thus, the specified high quality of service is guaranteed with minimal power dissipation. Excessive running of HVAC followers or pumps will probably be eliminated to conserve energy. Hence, the vitality effectivity of sensible constructing is improved significantly and the building operation turns into extra intelligent. The wireless sensor community was chosen for this research, because it is tiny, cost efficient, non-intrusive, simple to put in and versatile to configure. On this work, we built-in CO2 and gentle senors with a wireless sensor platform from Texas Devices. Evaluate with current occupancy detection methods, our proposed hybrid scheme achieves greater accuracy, while conserving low cost and non-intrusiveness. Experimental results in an workplace surroundings present full performance and validate advantages. This study paves the best way for future analysis, where a wireless CO2 sensor network is related with HVAC methods to realize fine-grained, vitality efficient good building.