Airfide Networks has launched an enhanced version of its Micro-mobility occupancy sensor AFN6843, enhanced with Wi-Fi HaLow connectivity. It is designed to provide long range connectivity for private, scalable IoT building sensing, and is designed to support smart building edge AI applications..

Built on Airfide’s proven mmWave and Edge AI sensing architecture, the new sensor integrates Morse Micro’s MM6108 Wi-Fi HaLow SoC. According to Airfide, this enables 10x better coverage distance than Wi-Fi 4/5/6/7 while maintaining ultra-low power and high reliability for commercial and industrial IoT deployments.

“The Wi-Fi HaLow-enabled version of our sensor unlocks the potential of truly wireless, long-range, privacy-compliant occupancy detection,” said Venkat Kalkunte, CEO at Airfide. “From elderly care and smart offices to public transport hubs and warehouses, this device transforms how spaces are monitored – no cameras, no wearables, just insights.”

Key features include:

• Long-range wireless with sub-GHz Wi-Fi HaLow, enabling whole-building coverage
• Edge AI detection of occupancy, presence, motion, fall events, and more
• Non-intrusive sensing using mmWave radar sensor for people counting and angle information
• Cloud platform for live monitoring and actionable insights
• Android and Apple iOS application for real-time monitoring and deployment

Use cases:

• Smart buildings and offices: Automate HVAC and lighting, optimise desk usage, monitor occupancy density
• Healthcare and aged care: Fall detection, inactivity alerts, presence monitoring without compromising privacy
• Retail and public spaces: People counting, dwell time analytics, queue monitoring and heatmaps
• Industrial and logistics: Worker tracking in hazardous zones, object detection, zone safety compliance alerts

“This collaboration is helping us bring to life scalable, secure, and standards-based wireless sensing for the next wave of IoT – what we call IoT 2.0,” said Michael De Nil, co-founder and CEO at Morse Micro. “Airfide’s use of the MM6108 in a real-world application is another great example of Wi-Fi HaLow’s potential.”