3. Alcohol detection :
● It refers to the identification of alcohol levels in an individual's body
● particularly in the context compliance with laws related to alcohol consumption
● Various methods are employed for alcohol detection, including breath, blood,
urine, and saliva tests
4. Project description
● The alcohol detection project is proposed to offer several advantages over
existing alcohol detection
● The detection system uses a highly sensitive ethanol mq3 sensor to sense the
presence of alcohol in individuals
● The feedback of sensor is used to cut off power supply or ignition of the
individuals vehicle for traffic safety
5. Relation to digital
electronics
• Alcohol detectors utilize digital electronics by employing
sensors that generate analog signals,
• it is converted into digital data through Analog-to-Digital
Converters (ADCs).
• digital data is processed by microcontrollers to determine
alcohol concentration levels and trigger appropriate
responses
6. Arduino uno
A popular microcontroller
based on ATmega328p
microcontroller
Mq3 sensor
Sensor used for detecting
alcohol,ch4,benzene,..etc
relay
It’s a switch consisting of
multiple operating contact
terminals
Display units
Lcd display
Buzzer
Alert signal lights
Components required
7. working
Breath Sampling:
• The alcohol detection system begins by collecting a sample of the person's breath.
• This can be done using a Breathalyzer device that typically includes a mouthpiece or
a sensor.
Detection Technology:
• The system utilizes a detection technology, such as a fuel cell or an infrared
spectroscopy sensor,
• to measure the alcohol content in the breath sample.
8. working
Fuel Cell:
• In this method, the breath sample is introduced into a fuel cell that contains platinum
electrodes
Infrared Spectroscopy:
• This technique involves emitting infrared light through the breath sample and analyzing the
wavelengths of light that are absorbed by alcohol molecules.
• The extent of absorption corresponds to the alcohol concentration, allowing the system to
calculate the level of alcohol present.
9.
10. ● Sensor accuracy:
sensors are resistant to environment facts that might affect the reading
● Calibration variability:
calibration is crucial for sensor characteristics and environment
● User calibration:
user friendly calibration is needed for accurate readings
● Temperature and humidity effect
impact of temperature and humidity can lead to miscalculation
● Power consumption
balanced and controlled monitoring is critical in portable devices
Challenges faced
11. 02
01 Iot connectivity
03
IOT capabalities for remote
monitoring and centralized data
collection
Automation of calibration processes
to simplify user interaction and
ensure accuracy
Future advancements
Automated calibration
miniaturization
Further miniaturization for even
more portable and discreet designs
Global strandards
Establishment and adherence to
global standards for alcohol
detection devices to ensure
reliability
04
12. Conclusion
the Alcohol Detection Engine Cutoff Project not only
represents a technological milestone in the field of
alcohol detection but also underscores the
importance of leveraging digital electronics to
address societal challenges. As the project moves
forward, collaboration between technology
developers, regulatory bodies, and stakeholders will
be key to its success and widespread adoption,
ultimately contributing to a safer and more
responsible community
