Texas Instruments' ADS7142 autonomously monitors signals while optimizing system power, reliability, and performance. It implements event-triggered interrupts per channel using a digital windowed comparator with programmable high and low thresholds, hysteresis, and event counter. This device includes a dual-channel analog multiplexer in front of a successive approximation register analog-to-digital converter (SAR ADC) followed by an internal data buffer for converting and capturing data from sensors.
The ADS7142 is available in a 10-pin QFN package and consumes only 900 nW of power. The small form-factor and low power consumption make this device suitable for space-constrained and battery-powered applications.
Features |
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- Efficient host sleep and wake-up
- Autonomous monitoring at 900 nW
- Windowed comparator for event-triggered host wake-up
- Data buffering during host sleep
- Independent sensor configuration and calibration
- Dual-channel, pseudo-differential, or ground-sense input configuration
- Programmable thresholds for calibration
- Internal calibration improves offset and drift
- False trigger prevention
- Programmable thresholds per channel
- Programmable hysteresis for noise immunity
- Event counter for transient rejection
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- Standalone, nanopower sensor monitor for cost-sensitive designs
- Small package size: 1.5 mm x 2 mm
- Deep data analysis
- Data buffer for false diagnostics
- High-precision mode for 16-bit accuracy
- One-shot mode for fast data capture
- I2C interface
- Compatible from 1.65 V to 3.6 V
- Eight configurable addresses
- Up to 3.4 MHz (high-speed)
- Wide operating range
- Analog supply: 1.65 V to 3.6 V
- Temperature range: -40°C to +125°C
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Applications |
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- Sensor nodes for Internet of Things (IoT)
- Gas, heat, PIR motion, and smoke detectors
- Preventive maintenance for elevators, escalators, HVAC, industrial equipment, and so forth
- Wearable electronics
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- Zero cross detection for fault indicators
- Supervisory functions
- Comparator with programmable reference
- Sensors for deep learning artificial intelligence
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