CYFI Capacitive Touch Sensor Module

Add Touch Control to Your Robotics Projects

The CYFI Digital Capacitive Touch Sensor Module allows students to replace traditional mechanical buttons with modern touch-based input systems. Using capacitive touch detection technology, this module responds to finger contact, making it ideal for interactive robotics and smart control projects.

Designed for educational robotics learning, this sensor helps students understand how touch-based interfaces work in real-world electronic devices.

With a snap-fit connection system and no soldering required, it is suitable for STEM classrooms, robotics labs, and home learning environments.

🔬 Learning Applications

• Understanding capacitive touch sensing technology
• Replacing mechanical buttons with digital touch input
• Building interactive robotics systems
• Exploring modern control interface design
• Hands-on STEM experimentation

⚙️ Key Features

• Digital capacitive touch detection
• Replaces traditional push-button switches
• Low power consumption
• Supports 3.3V and 5V systems
• Automatic self-calibration function
• Snap-fit connection design
• No soldering required
• Includes positioning holes for secure mounting

⚠️ Operational Notes

• Requires approximately 0.5 seconds to stabilize after power-on
• Do not touch during startup calibration
• Performs automatic recalibration when not touched
• Designed for stable and reliable touch response

📐 Technical Specifications

• Operating Voltage: 3.3V / 5V
• Operating Current: 3mA
• Maximum Power: 0.015W
• Operating Temperature Range: -10°C to +50°C
• Dimensions: 48 × 24 × 18 mm
• Weight: 5.8g
• Compliance: RoHS

🎓 Recommended Age & Skill Level

• Age: 8 years and above
• Skill Level: Beginner to Intermediate

🛡 Safety Information

• Designed for educational robotics use
• Adult supervision recommended for younger learners
• Avoid exposure to moisture during operation
• Store in dry conditions

Why Choose CYFI Robotics Modules?

CYFI modules enable students to explore real electronic components through structured hands-on learning. Instead of relying on pre-assembled systems, learners build and experiment with interactive hardware, strengthening their understanding of robotics and control systems.