Interface - Sensor, Capacitive Touch

Image Part Number Description / PDF Quantity Rfq
CPT007B-A02-GM

CPT007B-A02-GM

Silicon Labs

IC CTLR CAP TOUCH 7CH GPIO 20QFN

0

CPT112S-A02-GM

CPT112S-A02-GM

Silicon Labs

IC CTLR CAP TOUCH 12CH I2C 20QFN

75

CPT007B-A02-GUR

CPT007B-A02-GUR

Silicon Labs

7 CHANNEL CAPACITIVE TOUCH CONTR

0

CPT213B-A01-GMR

CPT213B-A01-GMR

Silicon Labs

13 CHANNEL CAPACITIVE TOUCH CONT

0

CPT213B-A01-GM

CPT213B-A01-GM

Silicon Labs

13 CHANNEL CAPACITIVE TOUCH CONT

8

CPT112S-A02-GUR

CPT112S-A02-GUR

Silicon Labs

12 CHANNEL CAPACITIVE TOUCH CONT

0

CPT112S-A02-GMR

CPT112S-A02-GMR

Silicon Labs

IC CTLR CAP TOUCH 12CH I2C 20QFN

2096

CPT007B-A02-GU

CPT007B-A02-GU

Silicon Labs

7 CHANNEL CAPACITIVE TOUCH CONTR

56

CPT212B-A01-GMR

CPT212B-A01-GMR

Silicon Labs

12 CHANNEL CAPACITIVE TOUCH CONT

0

CPT007B-A02-GMR

CPT007B-A02-GMR

Silicon Labs

IC CTLR CAP TOUCH 7CH GPIO 20QFN

1287

CPT212B-A01-GM

CPT212B-A01-GM

Silicon Labs

12 CHANNEL CAPACITIVE TOUCH CONT

160

CPT007B-A01-GM

CPT007B-A01-GM

Silicon Labs

CAP TOUCH CONTROLLER

199

CPT112S-A02-GU

CPT112S-A02-GU

Silicon Labs

12 CHANNEL CAPACITIVE TOUCH CONT

81

CPT112S-A01-GMR

CPT112S-A01-GMR

Silicon Labs

IC CTLR CAP TOUCH 12CH GPIO 20QF

0

CPT112S-A01-GM

CPT112S-A01-GM

Silicon Labs

CAP TOUCH CONTROLLER

50

CPT007B-A01-GMR

CPT007B-A01-GMR

Silicon Labs

IC CTLR CAP TOUCH 7CH GPIO 20QFN

0

Interface - Sensor, Capacitive Touch

1. Overview

Capacitive touch sensor interface ICs are specialized semiconductor devices that bridge capacitive touch sensors and main processing units. These ICs convert changes in capacitance caused by human touch into digital signals through precise analog front-end (AFE) circuits and advanced algorithms. With the proliferation of smartphones, industrial HMIs, and IoT devices, these interface ICs have become critical components enabling intuitive human-machine interactions. Modern solutions integrate features like noise suppression, gesture recognition, and waterproofing to meet demanding application requirements.

2. Main Types & Functional Classification

TypeFunctional FeaturesApplication Examples
Touch Controller ICsMulti-channel sensing, auto-calibration, palm rejectionSmartphone displays, automotive infotainment
Bridge ICsI2C/SPI protocol conversion, signal conditioningIndustrial control panels, medical devices
Specialized InterfaceLow-power wake-up, force touch detectionWearables, notebook trackpads

3. Structure & Components

Typical architecture comprises:

  • CMOS-based analog front-end with programmable gain amplifiers
  • Digital signal processor with CIR (Capacitance to Digital Conversion)
  • Communication interfaces (I2C, SPI, UART)
  • On-chip memory for calibration data storage
  • ESD protection structures (up to 8kV HBM)

Packaging options include QFN, TSSOP, and WLCSP variants with pitch sizes down to 0.4mm.

4. Key Technical Specifications

ParameterImportance
Resolution0.01pF to 10pF detection range affects touch sensitivity
Refresh Rate10-500Hz determines response time and motion tracking capability
Power ConsumptionActive: 10-100 A/MHz, Standby: <1 A impacts battery life
Noise ImmunityEN/IEC 61000-6-3 compliance ensures reliable operation in EMI environments
Operating Temperature-40 C to +125 C for industrial/automotive applications

5. Application Fields

  • Consumer Electronics: Smartphone displays, tablet trackpads, smart home controls
  • Industrial Automation: HMI panels, control room touchscreens
  • Medical Devices: Diagnostic equipment interfaces, wearable health monitors
  • Automotive: Center stack displays, steering wheel controls, seat occupancy detection

6. Leading Manufacturers & Products

ManufacturerProduct SeriesKey Features
Texas InstrumentsMSP430FR267xCapacitive touch MCU with 80dB SNR
NXP SemiconductorsMC33761Automotive-grade inductive-to-digital converter
STMicroelectronicsSTM32L0xxTouch sensing with 16-bit resolution
Microchip TechmaXTouch ESingle-chip solution for 32-button arrays

7. Selection Guidelines

Key considerations:

  • Channel density requirements (buttons vs. full matrix scanning)
  • Environmental factors (temperature range, humidity resistance)
  • Host processor interface compatibility (I2C speed, SPI mode support)
  • Development ecosystem (GUI configuration tools, algorithm libraries)
  • Cost/performance trade-offs (basic touch detection vs. advanced gesture recognition)

Example: For automotive applications, prioritize AEC-Q100 qualified parts with >8kV ESD protection.

8. Industry Trends

  • Development of self-healing capacitive sensing algorithms
  • Integration with piezoelectric haptic feedback systems
  • Advancements in transparent conductive films (AgNWs, graphene)
  • Adoption of machine learning for contextual touch interpretation
  • Miniaturization for foldable/stretchable device applications

Market forecasts predict 12.3% CAGR through 2027, driven by automotive HMI and industrial IoT growth.

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