SMART HOME DEVICES

A pet feeder that can make video calls! Can it really provide food for the owner while he is away on a business trip for three days?

Anti-grain stuck technology, multi-modal perception and ecological service chain reconstruction under the outbreak of the 100 billion market, aging-friendly transformation and the rise of CaaS model

  1. Sustainable energy management
    Green power adaptation: Photovoltaic power generation → smart sockets are preferred

Standby power consumption: ≤0.5W chip (annual electricity savings of $38/household)
I. Technical architecture: three-layer system solves the core pain points of feeding, and four-layer equipment system builds whole-house intelligence

  1. Hardware innovation: precise feeding and long-term preservation
    Anti-grain jam design

Four-grid compartment + reverse impeller: Horman feeder adopts four-grid physical separation, combined with high-torque motor reversing mechanism, the grain jam rate is reduced by %;

Dynamic calibration outlet: Mijia Feeder 2 dynamically adjusts the grain outlet size through an algorithm, and is suitable for freeze-dried and puffed grains with a diameter of ≤12mm.

Double fresh-locking system

Silicone sealing ring + desiccant chamber: 360° annular seal isolates air, the top cover integrates a replaceable drying box (such as Mijia, NutriVue), and the humidity is controlled below 30%;

Ultraviolet sterilization module: Commercial-grade feeders have built-in UV-C lamps, which automatically sterilize every 24 hours, and the bacterial growth rate is reduced by 90%.

Dual power supply disaster recovery system

Mains power + dry battery redundancy: Mijia Feeder 2nd generation has built-in 4 No. 5 battery compartments, which can work continuously for 30 days after power failure
Sustainable energy management
Green power adaptation: Photovoltaic power generation → smart sockets are used first

  1. Interaction upgrade: full-scenario human-pet connection
    Two-way voice + night vision camera: NutriVue is equipped with 1080P camera + 146.8° wide angle, infrared night vision clarity reaches 0.1Lux in dark environment, and supports motion detection and capture;

Voice customized broadcast: record the owner’s call to guide feeding and relieve separation anxiety
II. Scenario solution package (high adaptability combination)

  1. Multi-pet family anti-food snatching solution
    RFID accurate identification: PETLIBRO feeder is bound to pet collar tag, and the misidentification rate is <0.3%;

Microchip sensing: SureFeed opens the cover through the pet’s subcutaneous chip to prevent cross-species stealing.

Cost-effectiveness: Reduce medical expenses caused by snatching food by 30%

  1. Special health management plan
    Diabetic pets: small and frequent meals mode (6 times a day, single ≤20g);

Postoperative recovery: liquid food adapter + nutrient paste mixed feeding;

Elderly pets: gentle slope food bowl + digestive enzyme addition warehouse

  1. User trust reconstruction strategy
    Transparent supply chain: The granary uses food-grade ABS+304 stainless steel bowls, and SGS certification is publicized;

Ten-year warranty commitment: lifetime replacement of motors/sensors (such as Horman flagship models);

UGC community operation: users share “anti-rollover guides” (such as breaking large-grain dog food)
IV. Future trends: from feeding tools to health centers

  1. Technology integration direction
    Multimodal health monitoring:

Millimeter wave radar detects respiratory rate (accuracy 95%);

Food bowls integrate tongue coating recognition AI to warn of liver and kidney diseases.

Humanoid robot collaboration:
Figure 01 Robotic arm replaces food bowls + cleans residues, and the cost will be reduced to $2000 in 2030
Ultimate vision: When the feeder can identify feline infectious peritonitis through coughing sounds, and when the robotic arm prepares liquid food for dogs after surgery – technology will eventually eliminate the boundaries between “survival feeding” and “emotional care”
Core insight: The ultimate competition in smart home devices lies not in hardware parameters but in the “depth of scene understanding” – when the system can predict that an elderly person living alone will take too long to get up and automatically call for help, and when a robot vacuum cleaner closes your windows before a rainstorm, technology will truly be integrated into the fabric of life.

https://muyizhijia.com/product-category/smart-home-devices