pet-detection-feeder-analysis

What problem does it solve?

It solves the problem of accurately identifying cats and dogs appearing in a fixed smart-feeder/IPC camera region so feeding decisions can be based on the correct pet identity rather than guesses.

Core Features & Use Cases

• Pet detection & recognition: Detects and recognizes cats/dogs in feeder/IPC camera views and generates structured analysis reports.
• Individual identity recognition & enrollment: Supports pet identity recognition and enrolling a pet (e.g., pet face/body features) into a pet database for later matching.
• History query from cloud: Lists and links past pet detection analysis reports by retrieving history via cloud API (no local history fallback), enabling audit and management of feeding records.
• Use case: In a multi-pet home with a smart feeder, distinguish which pet is present so the device can perform personalized recognition-based feeding while preventing non-target pets from stealing food.

Quick Start

Ask the assistant to detect and recognize pets from the attached feeder/IPC video or image while providing your open-id, for example: “Detect cats in this feeder image and output the analysis report; my open-id is <your_open_id>.”