What it does
Is a self-sustaining smart pot designed to solve common plant care challenges, such as improper lighting and irregular watering. Using solar energy, sensors, and autonomous movement, it relocates itself to optimize sunlight exposure, reducing user effort.
Your inspiration
The inspiration for Wild Wheels came from the increasing challenges people face when caring for plants, especially in urban environments. Many individuals struggle with maintaining proper lighting and watering schedules due to lack of time, knowledge, or suitable living conditions. The idea originated from observing how houseplants often suffer from being placed in suboptimal locations. Additionally, many people forget to water their plants regularly or overwater them, leading to unhealthy growth or plant loss. Recognizing these common issues, I wanted to develop a solution that reduces human effort while enhancing plant health.
How it works
Solar-Powered Mobility: The pot is equipped with a solar panel that collects and stores energy, making it self-sufficient and eliminating the need for batteries or constant charging. Light Optimization: Built-in light sensors detect the intensity and direction of sunlight. If the plant is not getting enough light, small motorized wheels allow it to move toward a better spot. Automated Watering: Soil moisture sensors monitor the water level. If the soil gets too dry, the pot releases the right amount of water through an automatic irrigation system, preventing overwatering or underwatering. Smart Connectivity: The pot connects to a mobile app via Wi-Fi, allowing users to monitor their plant’s health, receive care recommendations, and even track watering schedules in real-time.
Design process
The design process of Wild Wheels followed a structured approach to address common plant care challenges using modern technology: 1. Identifying the Problem: Many people struggle with plant care due to improper placement (insufficient sunlight) and irregular watering. Time constraints and lack of knowledge make plant maintenance difficult. 2. Validating Market Needs - Houseplant and smart pot markets are growing due to urbanization and increased environmental awareness. - Many people seek low-maintenance, tech-enhanced solutions for plant care. 3. Concept Development - Autonomous movement: Wheels reposition the pot to find the best light. - Smart sensors: Monitor soil moisture and sunlight. - Solar-powered system: Ensures self-sufficiency. - IoT integration: Sends real-time updates via a mobile app. - Sustainable materials for eco-friendly production. 4. Testing & Refinement - Early prototypes validated mobility, stability, and sensor efficiency. - User feedback shaped the design for practicality and aesthetics.
How it is different
Wild Wheels stands out from other smart pots by combining autonomous mobility, solar-powered operation, advanced sensors, and an interactive design to offer a fully independent plant care experience. Unlike traditional self-watering pots that focus only on moisture control, Wild Wheels actively moves plants to optimize their exposure to sunlight and humidity levels, ensuring their health with minimal human intervention. Autonomous Movement Unlike other smart pots that only regulate water levels, Wild Wheels moves plants to the best location for sunlight and environmental conditions. It uses built-in wheels and motion sensors to navigate indoor and outdoor spaces. By combining technology, sustainability, and convenience, Wild Wheels redefines home gardening, making plant care easier and more accessible, especially for busy individuals, families, and green tech enthusiasts.
Future plans
The project of the autonomous plant pot that moves on its own without user interaction has reached an exciting conceptual stage, but the next phases of development are crucial to transform this idea into a functional solution. The next step in its evolution will be to create a basic prototype that allows testing the autonomous movement system, which could be based on motion sensors, artificial intelligence, or learning algorithms to adjust its position based on the plant's needs and the environment. This prototype will be tested under different conditions to validate its ability to move safely and efficiently without human intervention.
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