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iGarden62 days left
iGarden Robotic Pool Cleaner M1 AI Series, 4.5H Runtime, AI Dual-Camera Vision, 5,019 GPH Suction, Smart Navigation, Wall & Waterline Cleaning for Above & In-Ground Pools
Amazon Best SellerRanked #165in Robotic Pool Cleaners
$854.99$899.99
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About this item
- 20-Min AI Quick Clean – 99% Clean Pool Floor, Zero Effort: Bionic AI Dual-Camera Vision tracks every piece of debris in real time, so the robot always knows exactly where to go—removing 99% of pool floor debris in just 20 minutes. Cleaning, before you even think about it. *99% floor debris removal in 20 minutes achieved in AI Target mode under standard test conditions; efficiency may vary depending on pool conditions.
- One Charge, 4.5H Runtime: Powered by InfinityDrive and AI-Inverter 2.0, this robot cleaner M1-45 AI runs 4.5 hours per charge with intelligent power matching for consistent performance. Paired with intelligent wake/sleep cycles and a 4.5L debris chamber, it captures more debris per run and reduces how often you need to empty it — less maintenance, more time swimming.
- Bionic AI Dual-Camera Vision: Two ultra-HD underwater cameras work with OmniLogic to create a real-time 3D view of your pool, detecting boundaries, debris, drains, steps, and obstacles with precision. Powered by a 6 TOPS NPU and advanced 4K ISP, the robot M1-45 AI adjusts its path before each move for accurate, thorough cleaning.
- AI-Powered Smart Cleaning Modes: The AI analyzes pool-floor conditions in real time and powers three smart modes for more efficient cleaning. AI Target Mode identifies and tracks debris for up to 99% coverage in just 20 minutes, Spot Cleaning automatically re-cleans missed areas, and Adaptive Suction adjusts power based on debris type for efficient, thorough cleaning with less wasted effort.
- 10x AI Eco-Saving, Maximum Clean: AI-Inverter 2.0 adapts power output in real time to match cleaning demand, using energy more efficiently with no wasted output. The result is powerful cleaning with up to 90% less energy consumption than conventional models, without sacrificing performance. *Based on internal testing under standard conditions.
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