CO₂ + Light Sensor for Controller AI+ | CO₂ Data Tracking, Optimised FAE, Day & Night Scheduling

The CO₂ + Light Sensor for Controller AI+ is an advanced environmental sensor designed to help growers monitor carbon dioxide levels and light cycles with greater accuracy. Built for use with AC Infinity AI controllers, this smart sensor assists your Controller AI+ in learning and managing your grow environment by tracking CO₂ and light data in real time.

When connected to the Controller AI+ and AC Infinity app, the sensor helps optimise CO₂ use by coordinating with fan programming and fresh air exchange settings. This allows your grow system to respond more efficiently to changing CO₂ levels, helping maintain a balanced environment during active light periods while reducing unnecessary CO₂ waste during dark cycles.

With support for day and night scheduling, precision cycling and environmental data tracking, this sensor is ideal for grow tents, grow rooms, hydroponic systems and controlled indoor gardens where CO₂ management and airflow efficiency are important.

Features:

• Designed for AC Infinity Controller AI+
• Tracks CO₂ levels and light cycle data
• Helps optimise FAE / Fresh Air Exchange
• Supports day and night scheduling
• Assists with smart fan programming based on CO₂ levels
• Helps reduce CO₂ waste during dark periods
• Enables real-time data viewing through the AC Infinity app
• Supports precision cycling and environmental data tracking
• Ideal for grow tents, grow rooms and hydroponic systems
• Helps maintain a more stable and efficient indoor grow environment

Specifications:

• Product Type: CO₂ + Light Sensor
• Compatibility: AC Infinity Controller AI+
• Model: AC-COS3
• CO₂ Detection Range: 0–40,000 ppm
• Light Detection Range: 1–65,535 lx
• Cord Length: 144 in / 365.8 cm
• Suitable For: CO₂ monitoring, light cycle tracking, FAE optimisation and grow room automation

The CO₂ + Light Sensor for Controller AI+ is a powerful add-on for growers who want smarter CO₂ tracking, better airflow control and more accurate day/night automation in their indoor garden.