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Narwal Flow 2 Robovac Uses AI to Avoid Vacuuming Lost Items
Technologylifestyle

Narwal Flow 2 Robovac Uses AI to Avoid Vacuuming Lost Items

January 4, 2026•7 min read•1,291 words
Narwal Flow 2 Robovac Uses AI to Avoid Vacuuming Lost Items
Narwal Flow 2 Robovac Uses AI to Avoid Vacuuming Lost Items
📋

Key Facts

  • ✓ The Flow 2 is the successor to Narwal's edge-mopping Flow robovac.
  • ✓ It uses a built-in AI system with dual RGB cameras for object recognition.
  • ✓ When valuables are detected, the vacuum maintains a distance of at least 5cm.
  • ✓ The Narwal app sends a photo and map location of the detected item to the user.

In This Article

  1. Quick Summary
  2. Advanced Object Recognition Technology
  3. Safety Protocols and User Alerts
  4. Design and Market Context
  5. FAQ: Narwal Flow 2 Capabilities

Quick Summary#

Narwal has officially released the Flow 2, a new robot vacuum designed to succeed its previous edge-mopping model. This latest iteration introduces a significant technological upgrade aimed at preventing the loss of personal items during the cleaning process. The device employs a sophisticated AI system to identify specific objects on the floor.

The core innovation of the Flow 2 is its ability to scan the environment and tag valuables. By using object recognition technology, the vacuum can distinguish between dust and important items. When a specific object is identified, the device actively avoids it, ensuring that personal property remains safe while the floor is cleaned.

Notifications are sent directly to the user's mobile device via the Narwal app. These alerts include a photograph of the detected item and its precise location on a digital map of the home. This feature transforms the robot vacuum from a simple cleaning tool into a helpful utility for locating lost possessions.

Advanced Object Recognition Technology#

The Flow 2 relies on a built-in AI system to power its new cleaning capabilities. Narwal has equipped the device with dual RGB cameras, which provide the visual data necessary for the AI to analyze the floor. These cameras capture a wide 136-degree field of view, allowing the vacuum to monitor a broad area as it moves through a room.

The system is designed to identify a variety of common items that users frequently drop. The AI targets specific categories of valuables, including:

  • Jewelry
  • Mobile phones
  • Keys
  • Wallets

Narwal claims that the AI system allows for "unlimited" object recognition. This suggests that the vacuum's ability to identify items is not restricted to a pre-set list, potentially allowing it to learn and adapt to new objects over time. The visual data processing enables the vacuum to make real-time decisions about which objects to clean around.

"unlimited"

— Narwal

Safety Protocols and User Alerts#

When the Flow 2 detects one of the targeted items, it initiates a specific safety protocol. The device is programmed to maintain a minimum distance of 5cm from the identified object. This physical buffer zone ensures that the vacuum's intake mechanism does not accidentally suck up the item, preventing potential damage or loss.

Simultaneously, the vacuum communicates with the user through the Narwal app. The device pushes a notification that contains two key pieces of information: a photo of the item and its location on a map. This allows users to quickly locate their belongings without having to retrace the vacuum's path manually.

This feature addresses a common anxiety associated with robot vacuums: the fear that a device might consume a small, valuable object. By actively scanning and avoiding these items, the Flow 2 offers a layer of security for users who want to automate their cleaning routine without risking their personal property.

Design and Market Context#

Aside from its software upgrades, the Flow 2 features a refreshed design. While specific aesthetic details are not fully elaborated in the initial release information, the redesign likely accompanies the internal hardware changes required to support the dual camera system and AI processing capabilities. The device continues the lineage of the original Flow model, maintaining its focus on edge-mopping capabilities while adding this new layer of intelligence.

The release of the Flow 2 places Narwal in a competitive market for high-tech home cleaning appliances. Manufacturers are increasingly looking toward AI and visual recognition to differentiate their products. Rather than just focusing on suction power or battery life, companies are adding features that solve specific user pain points, such as the fear of losing items or the need to manually move furniture before cleaning.

The introduction of "unlimited" object recognition suggests a forward-thinking approach to home automation. If the vacuum can identify an expanding library of objects, its utility could grow beyond just avoiding obstacles, potentially integrating with other smart home systems in the future. The Flow 2 represents a shift toward vacuums that act as guardians of the home environment, not just cleaners of it.

FAQ: Narwal Flow 2 Capabilities#

How does the Narwal Flow 2 prevent vacuuming lost items?
The Flow 2 utilizes a built-in AI system paired with dual RGB cameras. When the device scans the floor and identifies specific valuables—such as jewelry, phones, keys, or wallets—it is programmed to maintain a distance of at least 5cm from the object. This ensures the item is not sucked into the vacuum during the cleaning cycle.

What happens when the Flow 2 detects a valuable item?
Once the Flow 2 identifies a valuable item, it sends a notification to the user's Narwal app. This notification includes a photograph of the detected item and its location marked on a map of the home, helping the user retrieve it easily.

What kind of cameras does the Flow 2 use?
The robot vacuum is equipped with dual RGB cameras that capture a 136-degree field of view. These cameras work with the AI to provide the "unlimited" object recognition capabilities mentioned by the manufacturer.

Original Source

The Verge

Originally published

January 4, 2026 at 02:00 PM

This article has been processed by AI for improved clarity, translation, and readability. We always link to and credit the original source.

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