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Stray Animal Rescue System

The scientific management system for stray cats in cities is committed to resolving the ecological chain imbalance and public management dilemma caused by stray animals

  • This picture shows a portable stray cat rescue device

  • introduces market research and the TNR model to help stray cats in cities survive better

  • This picture shows pet rescue methods and market research, and analyzes TNR rescue methods.

  • This diagram includes a user journey map and the process of using pet rescue equipment,

  • This picture shows the interactive design and visual architecture.

What it does

Based on the ecological survey of stray cats in cities, this system takes the TNR (capture-sterilization-release/adoption) model as the core and reconstructs the rescue process


Your inspiration

The design motivation stems from the insight into the dilemma of urban ecological governance: on the one hand, the over-breeding of stray cats threatens local biodiversity; on the other hand, the culling policy has caused ethical controversy and only treats the symptoms but not the root cause. The solution is inspired by three inspirations: the effectiveness verification of the 70% sterilization coverage rate in the "humane TNR practice" of animal protection organizations; the collaborative potential of smart city grid management in public affairs;


How it works

The system uses a lightweight technology stack to achieve end-to-end closed-loop management: the public submits the location and basic characteristics of stray cats (fur color, body shape) through WeChat applet/H5 page, triggering the volunteer scheduling engine based on Dijkstra algorithm (integrating Amap API to optimize the path); the sterilization process is connected to the cooperative hospital reservation system through the RESTful interface, and uses digital watermark technology to generate an electronic certificate containing the sterilization date and the doctor who performed the operation (PDF417 QR code is bound to the physical ear tag); postoperative diversion relies on a standardized behavior assessment form (filled out on-site by the rescue station staff for docility/health status)


Design process

The design process of the stray cat rescue system is as follows: first collect user needs and expectations through online and offline surveys, analyze the advantages and disadvantages of competing products, and determine the functional positioning in combination with pet market research. In view of the pain points of traditional rescue such as poor information and chaotic management, define functions, covering the entire process of reporting, scheduling, sterilization, diversion, adoption and return visits, and integrate algorithms, blockchain and gamification mechanisms; software design focuses on convenience, hardware focuses on practicality, and mobile applications and monitoring equipment are developed. Subsequently, a multi-party review is organized to check the completeness and rationality of the functions; finally, it is tested in actual scenarios to ensure that the functions are stable and reliable and problems are fixed in a timely manner.


How it is different

The unique design of this stray cat rescue system lies in the use of the TNR scientific model combined with digital means to achieve digital management of the entire process, including public reporting, intelligent scheduling, sterilization and archiving, etc. At the same time, it uses AI behavioral assessment for personalized diversion, and innovatively integrates population prediction, blockchain fund traceability and gamification mechanisms. Compared with traditional rescue and similar products, the rescue model is more scientific and systematic, the technology application is more extensive and in-depth, the public participation is higher, and the data management is more accurate and effective.


Future plans

In the future, this product plans to continuously optimize system functions, improve user experience, and expand the user base. In terms of functional improvement, it is planned to add more intelligent monitoring equipment to improve the accuracy of data collection, and use artificial intelligence technology to further improve the accuracy of stray animal behavior analysis and health status prediction. In terms of technical upgrades, algorithms are constantly updated to adapt to the changing urban environment and animal behavior patterns


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