Smart Sensor.pptx
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Smart sensors are analog/digital transducers that have been combined with a processing unit and communication interface, allowing them to perform input, output, and processing functions. A smart sensor consists of a transduction element, signal conditioning electronics, and a controller/processor integrated into a single package, giving it some level of intelligence to make basic decisions. The integrated design of a smart sensor, with the transduction element and electronics on a single silicon chip, is known as a system on chip that enables it to function as an intelligent sensor.
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Smart-Sensor.ppt
Sensors detect physical stimuli like heat, light, and motion and convert it to an electrical signal. Actuators are devices that perform an output function to control external devices. Together, sensors and actuators are called transducers. Smart sensors have general architectures that allow for information coding/processing and data compensation. Some common types of smart sensors are temperature, proximity, pressure, gas, accelerometer, level, image, motion detection, optical, and gyroscope sensors.
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The document discusses intelligent instrumentation and smart sensors. It defines sensors as devices that respond to physical stimuli and convert it into an electrical signal to perform an input function. Actuators are also discussed which perform an output function to control external devices. The general architecture of smart sensors is described including information coding/processing and data compensation. Several types of smart sensors are listed such as temperature, proximity, pressure, gas, smoke, accelerometer, level, image, motion, optical, and gyroscope sensors along with their advantages and disadvantages.
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The document discusses intelligent instrumentation and smart sensors. It defines sensors as devices that respond to physical stimuli and convert it into an electrical signal. Both sensors and actuators are collectively called transducers, which convert energy from one form to another. It lists common smart sensors like temperature sensors, proximity sensors, pressure sensors, gas/smoke sensors, accelerometers, level sensors, image sensors, motion detection sensors, optical sensors, and gyroscope sensors. The document also mentions advantages and disadvantages of smart sensors but does not specify what they are.
Lecture-1-Smart-Sensor.ppt
The document discusses intelligent instrumentation and smart sensors. It defines sensors as devices that respond to physical stimuli and convert it into an electrical signal. Both sensors and actuators are collectively called transducers, which convert energy from one form to another. It lists common smart sensors like temperature sensors, proximity sensors, pressure sensors, gas/smoke sensors, accelerometers, level sensors, image sensors, motion detection sensors, optical sensors, and gyroscope sensors. The document also mentions advantages and disadvantages of smart sensors but does not specify what they are.
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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- 1. Smart Sensor
- 2. Introduction • The Sensors are devices that responds to a physical stimulus heat, light, sound, pressure, magnetism, motion, etc , and convert that into an electrical signal. • They perform an input function • The Devices which perform an output function are generally called Actuators and are used to control. some external device, for example movement. • Both sensors and actuators are collectively known as Transducers. Transducers are devices used to convert energy of one kind into energy of another kind.
- 4. Smart Sensor A smart sensor is an analog/digital transducer combined with a processing unit and a communication interface. It consists of tranduction element, signal conditioning electronics and controller/processor that support some intelligence in a single package. The integrated sensors wich has electronics and the transduction element toghether on one silicon chip, this system can be called as system on chip (SoC). The main make an intellegent sensor, wich can be called as smart sensor. Smart sensor then have the ability to make some decision.