Robot vacuum maker Narwal announced at the Consumer Electronics Show (CES) its new Flow 2 robot vacuum, equipped with artificial intelligence to monitor pets, locate valuable objects, and alert users to misplaced items. The company stated that the new flagship device features a redesigned rounded shape and easy-lift tanks designed for improved cleaning performance.

The Flow 2 utilizes two 1080p RGB cameras, offering a 136-degree field of view, to map environments and identify objects using AI models. Narwal claims this technology allows the vacuum to recognize a virtually unlimited number of items. The device initially attempts to identify objects locally, and if a match isn't found, the data is sent to the cloud for further processing.

The Flow 2 incorporates three primary modes: pet care, baby care, and AI floor tag. The pet care mode enables users to define zones where pets typically spend time, allowing for targeted cleaning. It also offers pet monitoring capabilities, including two-way audio communication. The baby care mode automatically activates a quiet mode when operating near a crib.

The integration of AI into vacuum cleaners represents a growing trend in the smart home industry. These advancements leverage computer vision, a field of AI that enables machines to "see" and interpret images, and machine learning, where algorithms learn from data without explicit programming. The Flow 2's object recognition system employs these technologies to differentiate between various items and respond accordingly.

The implications of such technology extend beyond simple cleaning convenience. By collecting visual data within the home, these devices raise questions about data privacy and security. Companies must ensure robust security measures are in place to protect user data from unauthorized access. Furthermore, the ability to identify and categorize objects could potentially be used for purposes beyond cleaning, such as home security monitoring or inventory management.

Narwal's approach of using both local and cloud-based processing reflects a common strategy in AI-powered devices. Local processing allows for faster response times and reduced reliance on internet connectivity, while cloud processing enables more complex analysis and access to larger datasets. This hybrid approach aims to balance performance and functionality.

The Flow 2's ability to learn and adapt to its environment highlights the ongoing evolution of AI in consumer electronics. As AI models become more sophisticated, these devices will likely become even more adept at understanding and responding to the needs of their users. The company has not yet announced pricing or availability for the Flow 2.