:package: GAN-based models to flash-simulate the LHCb PID detectors

We have designed a smart security system that sets up on a transformer to detect stealing by motion detection, IR Sensor, and Voltage Detector. then it sends the danger alarm to the security control room via SMS by GSMSIM900 This system is equipped with a PID controller that makes temperature stay at the fixed degree to prevent high-temperature disturbances by reading the temperature from the DHT11 sensor and delivering that to the PID controller. Then the controller’s output controls the speed of the fan that makes temperature stay at a fixed degree

Advanced Windows process scanner that detects stealthy threats via heuristics. Identifies inline/IAT hooks, AMSI & ETW patches, RWX/private exec memory, manual-mapped PEs, unsigned/off-path modules, suspicious threads, and external network connections.

Fast Simulation and PID for Imaging Cherenkov Detectors

Study and production of a line follower with PID regulation. ✓ Line follower with PID. ✓ Control by smartphone. ✓ Detector of obstacles in an environment

🔧 AI-powered P&ID PDF processor with custom YOLO detection & multi-OCR support. Extract components & text from engineering diagrams automatically.

Pidgeon Detector

P&ID Detector by using Deep learning.

We are using IR sensor because in white surface it gives the value “1 “and in dark surface it gives “0”, black surface doesn’t reflect any light, but whites reflects. We are using 8 pairs of ir transmitter- receivers and a single pair in front of that at centre for the line sensing, and another for the obstacle9 avoidance. The robot is run by using 3 wheels one caster wheel and two motor attached wheels. Since we are using the motor driver we can control the direction such as left right and a full 360 degree rotation and speed of motor independently. The third wheel that's what the caster wheel can move in any direction has per the combined action of the motors. When the bot is placed on the line it detects the line and calibrate the position of the bot so that the 4th, 5th and 9th sensor( the sensor that is placed 3 cm in front of the row ) comes exactly on the line that its read the value 0 since no light is reflected back from the line. when the bot reached a path were the line turns exactly 90 degree towards the right then the single sensor in the first row gives a value 1 that means the line is not continuing towards front and sensors 4,5,6,7,8 gives a value 0 that means no light is reflected back it shows the line is going to rightwards so the bot turns toward right similarly when sensor 1 gives the value 1 and sensors 1,2,3,4,5 gives the value 0 the bot turn towards left. If some acute angle is there, the outer most sensors to read the value 0. In such cases if the sensors 4,5 and 8 or 1 the bot detects an acute angle and its turn left or right to find the line. If the bot enters in to a cross section junction then all the sensor gives the value 0 then bot move toward front .if in the case of gap in between the lines then all sensors gives the value 1 then also the bot move towards the front.TOTAL OF NINE IR EMITTER-DETECTOR PAIRS ,EIGHT OF THEM ARRANGED IN A ROW AND THE OTHER IS IN FRONT OF THE ROW AS THE CENTER.THE LIGHT REFELECTED FROM THE LINE AND ITS SURROUNDS ARE SENSORED BY SENSORS AND SENT TO NANO BOARD.THS NANO BOARD PROCESS THE DATA AND TAKE DESISSIONS ACORDING TO THE PROGRAM AND SENT DESISSIONS TO THE MOTOR DRIVERS,AND WE ARE USING ‘PID’ TECHNOLOGY TO MINIMIZE THE ERRORS AND THEN OPTIMIZE THE WORKING OF OUR BOT.THIS ‘PID’ TECHNOLOGY HELPS TO REDUCE THE ZIG-ZAG MOTIOM OF BOT AND ALSO HELP TO OVECOME THE CURVES,INTERSECTIONS,AND ANGLES IN THE PATH. USING NANO, THIS BECAUSE WE CAN MINIMIZE THE POWER CONSUMPTION AND IT ALSO REDUCE THE SIZE OF BOT CONSIDEREBLY. WE CAN ALSO PROGRAM THE NANO AS WHAT WE WANT TO DO IN THE TRACKS. AND THIS JOB CAN BE DONE BY NANO WITH MORE ACCURATELY THAN TRANSISTORS. to make a bot having IR sensors in two layers so our bot can overcome problems facing in intersections and gaps and also can attain a good turning in acute angles. By using the arduinonano we can optimize the bot size. Using the energy source as lithium ion it also helps in maintaining of bots size. we are focusing on motors having a high rpm and not on torque since our bot is not much heavier. The motor drive helps as to control the motors speed and direction easily. BY the independent motion of the 2 back wheels we can easily turn the bot both left and right and even acquire 360 degree rotation easily and third caster wheels turns in any direction as per the wheels motion. By implementing all these we think our bot can overcome the problems that facing in the event https://youtu.be/pIixdJKgN7o

PID detector

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Pidgeon detector using OpenCV and Keras

An intelligent PDF processing application that uses computer vision and OCR to automatically detect, classify, and extract text from Piping & Instrumentation Diagrams (P&ID). Built with a custom-trained YOLO model for shape detection and multiple OCR engines for text extraction.

Checks if there is an active USB with certain PID

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Replaces all your 'pidr' words into most humanictic word.

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Fast Simulation and PID for Imaging Cherenkov Detectors

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eyrc 2024-25 tasks - pid drone controller, aruco id detector

PID calibration of RICH detectors using the D➝K3pi decay channel

PID analysis for the MPD detector from NICA using Bayesian and MVA techniques

A repository containing a ROS2 package that enables object detection and object-following maneuvers using a simple blob detector and a PID controller

Collection of simulations, analyses, and utilities supporting the TRASGO detector project. Covers topics such as CFD, efficiency, PID, slewing correction, and neutron/magnetic effects. Organized by task-specific folders for modular use and development.

Machine learning lab for particle identification using realistic detector-style features. Builds synthetic or open-data samples with momentum, dE/dx, time-of-flight and calorimeter energy, trains multiple classifiers, compares ROC curves, and studies efficiency versus purity for pions, kaons and protons. Great to practice HEP-style ML and PID a lot