TEAM RESCUE LINE SOFTWARE ALEJANDRO BENJAMÍN VARGAS GALLARDO Capitán. - Programador y Diseñador Elec. Primarily responsible for programming the The robot uses two languages: Python on the Raspberry Pi, responsible line follower, green and red tape detection, D30V30F3. D36V50F5. x4 MOLICEL P28A. for image processing and decision-making, and C++ on the Teensy, and communication between 3V to 3.7A regulator, its only 5V to 5A regulator, only 18650 type cells are used in microcontrollers, in addition to PCB job is to keep 2 LEDs lit to provides power to the responsible for motor control. series to provide the fabrication. illuminate the track. raspberry pi5. The Raspberry Pi captures frames from the camera and processes them voltage required by the robot. to detect the black line, green turns, and red signals, as well as to HILEL OMAR ARIAS CASTRO x4 Pololu 20DX46L. D36V50F12. control AI models running on a USB Coral Accelerator. Based on its Cocapitán. - Creación de modelos IA. Motors, the robot's main 12V regulator, detections, it calculates a direction value and sends it to the Teensy via He performed by creating and training supplies DC power actuator, cause it to serial communication. The Teensy receives this value and converts it our machine vision models from for the other navigate on the track. into motor speeds, while also independently reading its own distance scratch for silver tape detection and components. sensor to react to obstacles. Both controllers run in a continuous loop victim recognition. throughout the entire process. Rpicam Model3 Teensy 4.0 Wide. Controls the robot's IVANNA ZOÉ SALAZAR ALMAGUER It handles the entire actuators and sensors, Diseñadora Mecánica view of the track and motors, laser sensor, servo, Diagrama de Flujo - Line Follower: Their job consisted of making the is used in conjunction etc. necessary parts for our robot, made with the Raspberry Pi with the Fusion 360 software to later 5. x3 Servo MG90S. Raspberry pi5. It helps control the be 3D printed. Their job is to track camera's tilt angle to adjust the line using the for an ideal view, and is also camera and send used in the victim collection data to the teensy. system. ÁNGEL ISAAC DEL RIO GALVAN Programador. Their focus was on programming x4 VL53L4CD. motors, performing the sequences of x2 TB6612FNG. These sensors help us Used for motor turns depending on the green light detect obstacles and follow control, regulating cases, laser sensors and servos for the walls to exit the evacuation speed and direction. collection of victims. zone. x2 LED Smd Blanco 3w. BMS 4S 40A. It helps considerably in It helps us to monitor and the lighting of the track, protect the cells against this avoids irregularities discharges and overloads. in the perceived data. BNO055. Switch ON/OFF. USB Acelerator. Este giroscopio ayuda a que los Nos permite pausar y reactivar el Este dispositivo TPU nos permite giros en zona de evacuación sean robot físicamente sin necesidad correr modelos de IA precisos de detener el programa a nivel desarrollados por nosotros software mismo. Preparatoria 20 UANL Coordinador: Adolio Sanchez Villarreal Innovación Our main mechanical innovation was the design of our custom PCB, as we had to develop it in Diagrama de Flujo - Evacuation Zone: Experiencias Previas tandem with the mechanical design. This allowed us to achieve shorter physical connections and, consequently, faster communication between components. In addition to fulfilling its In our initial participation, we obtained 3rd place. Although the performance electronic function satisfactorily, its role as the main chassis is crucial, making the robot more stable and secure. Another benefit is the easy access to all the robot's connections, which was competitive, we managed to gain experience and carried out a post- allows for faster external modifications. competition analysis, realizing that we had a very poor center of mass in addition to finding weaknesses in the software, problems that are not noticeable at first glance but that failed on the track. For our second version, we optimized both the traction and weight distribution of our robot, completely changing the main power supply method and patching various problems at the software level.