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Automated Smart Scope Gun: An Intelligent Targeting System

 

 

Saloni Shinde, Komal Marewad

Electronics and Telecommunication Engineering

ISBM College Of Engineering

Pune, India

salonishinde433@gmail.com

kmarewad64@gmail.com

 

Tanvi Kshirsagar,Anushka Bhosale

Electronics and Telecommunication Engineering

ISBM College Of Engineering

Pune, India

kshirsagartanvi19@gmail.com

anushkabhosale1701@gmail.com

 

 

Abstract— The Automated Smart Scope Gun provides an advancement in autonomous targeting, allowing for a productive use of traditional manual scopes by reducing human errors, the time lag in pointing guns as well as the sluggishness in adapting in fast changing scenarios. Embedded systems make the technology more proficient by investing in artificial intelligence, computer vision and sensor fusion making this applicable by providing whole tracking and targeting in timely manner.

The system is composed of a camera, a microprocessor, or a single board computer (for example, Raspberry Pi or Nvidia Jetson), servo motors, gyroscopes, accelerometers, or distance measurement devices. The “YOLO (You Only Look Once)” object detection algorithm available with Tensor Flow and OpenCV brings efficiency in detecting and identifying and tracking and classifying events in different operational environments.

The approach utilizes PID control systems to auto- adjust for movements and shifts in environment and stressors. Sensor integration elevates multi-sensor data providing information that evolves with lighting intensity, speeds of the targets as well as the distance of the subjects in relation to the tracking and shooting system. The system also has a graphical interface so that the user administers the system manually controls in certain situations, views feedback and senses the emergency shutdown feature. Enhanced battery management reduces the battery usage level during field operations.

This innovative system undergoes rigorous testing to ensure high accuracy, fast response times, adaptability, and energy efficiency. Applications span wildlife observation, security, sports training, and defense, demonstrating the transformative potential of autonomous targeting systems for precision, efficiency, and versatility across industries.

Keywords— Autonomous Targeting Systems, Smart Scope Gun, YOLO Object Detection, Sensor Fusion, Embedded Systems, Real-Time Tracking, Energy Efficiency.

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