This project uses a Jetson Nano on a RC car to point a turret and drive towards a person detected on its camera.

The Jetson captures video from the webcam and uses Nvidia pre-trained models like TAO peoplenet-pruned object detection network. Jetson uses a PCA 9685 to control the turret and driving servos. Jetson points pan-tilt servos (turret) to first person detected. ESP32 reads PWM signal from RC receiver's 4 channels, each with PWM values. ESP32 converts RC values to a string and sends to USB serial console. Jetson reads serial data from USB and controls steering servos according to the 'mode' set by channel 3: Mode 1: do nothing. car will not move Mode 2: Fly by Wire. pass thru RC signals to steer and throttle servos Mode 3: Autonomous. Steering angle auto-set to pan servo. Throttle is fly by wire (RC/human control)

Software: oc11.py has python code to run on Jetson Nano esp32ReadPWM.ino has C code to run on ESP32

Hardware: NVIDIA Jetson Nano Adafruit Feather Huzzah ESP32 PCA9685 Servo Driver MG Servos with pan tilt brackets Logitech C920 webcam Redcat Everest 10 Crawler (4 wheel steering and ESC Throttle) Buck converters Batteries: 2x 2S Lipo 7.4V 5200 maH , 2s Lipo 7.4V 1500maH

Connections: RC receiver -- GPIO pins --> ESP32 ESP32 -- USB --> Jetson Jetson -- i2c Serial --> PCA9685 PCA9685 --> Pan Tilt Servos PCA9685 --> Steer and Throttle servos on car