Zevon EduBot
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source
  • Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source

Raspberry Pi 5 Development Board Intelligent Vision 4B Robot Car WiFi Bluetooth Programming Infrared Python Open Source

Real time video transmission | Two free gimbal | Automatic balancing | Gravity sensing

Classification:
Raspberry Pi 4B4G upgraded to 6-channel infrared; Single car kit
Raspberry Pi 5 4G upgrade with 6 infrared channels; Single car kit
Raspberry Pi 4B1G upgraded with 6 infrared channels; Single car kit

USD 160-267

output value: Monthly Output100

contact shop

Kind Reminder

▶ The robot is shipped in loose parts, providing detailed assembly instructions and corresponding assembly tools for users to quickly assemble and use.

▶ The package includes optional Raspberry Pi 4B and Raspberry Pi CM4 motherboards, which have almost no difference in usage.

▶ Free APP and PC software are provided for easy and quick use.

▶ The use and gameplay functions of robots provide materials and course codes.

Raspberry Pi AI Visual Car (Comes with Source Code Video Tutorial)

Real time video transmission | Two free gimbal | Automatic balancing | Gravity sensing

Product Features

Rich in features, fun and easy to use

WiFi/Bluetooth control

Real-timevideo transmission         

2DOF PTZ

Visual ldentity

Artificial intelligence

OpencV image processing           

Python programming

APP control

RASPBERRY PI supports Raspberry Pi 5B

Al's performance has significantly improved, making image and video transmission smoother

CPU 64 bit 2.4GHz quad core (7nm process)                                               GPU  Broadcom VideoCore VI  @800MHZ

Raspberry Pi 5

Significantly improved performance

Comparison of specifications and parameters

Motherboard

Raspberry Pi 5

Raspberry Pi 4B

Chip

BCM2712

BCM2711

CPU

Four core Cortex-A76 (ARM v8) 64 bit @ 2.4GHz

Four core Cortex-A72 (ARM v8) 64 bit @ 1.8Ghz

GPU

VideoCore VII @ 800 MHz support: OpenGL ES 3.1, Vulkan 1.2

VideoCore VII @ 500 MHz support: OpenGL ES 3.1, Vulkan 1.0

Display output

Supports dual 4Kp60 Micro HDMI interfaces

Supports single channel 4Kp60 or dual channel 4Kp30

Memory RAM

LPDDR4X-4267 SDRAM

LPDDR4-3200 SDRAM

Storage

Micro SD card (SDR104 compatible) supports M.2 NVME SSD through HAT

Micro SD card

GPIO

40 PIN

USB port

2xUSB 2.0
2xUSB 3.0 @ 5 Gbps

2 x USB 2.0
2 x USB 3.0

Other interfaces

2x4 channel MIPI DSI interface; Camera reuse interface; PCIe 2.0 interface; UART interface; RTC battery connector; 4-pin fan interface

2-channel MIPI DSI display interface
2-channel MIPI CSI camera interface
3.5mm jack“

Network

Dual band 802.11ac, Bluetooth 5/BLE, Gigabit Ethernet, supports POE

Power button

Toggle button

Nothing

Power input

5V 5A USB-C interface (supports PD)

5V 3A USB-C interface

Comparison of intelligent machine cars

|Conventional microcontroller machine vehicle|
Basic level functional gameplay, capable of realizing conventional robot projects such as motion control, obstacle avoidance, and line patrol

|Raspberry Pi AI Vision Robot Car|
Not only can it achieve sensor gameplay, but it can also achieve visual gameplay such as facial recognition, color recognition, QR code recognition, etc.

Multiple Control Modes FPV Image Transmission

The robot supports mobile APP (WiFi/Bluetooth) and PC remote control, which not only allows real-time remote control of the robot, but also quickly switches to other intelligent gameplay, experiencing the fun of AI at high speed.

New AI visual gameplay

The S-ROBOT car uses a Raspberry Pi development board, paired with a two degree of freedom camera gimbal and a DC TT motor, to achieve various intelligent AI recognition gameplay such as face tracking, color following, and QR code recognition.

                                         Intelligent visual recognition of faces                                                        Intelligent visual recognition of colors

                                     Intelligent visual inspection of black lines                                                         Intelligent visual recognition QR code

Deep Learning Neural Networks

(Exclusive to Raspberry Pi version)

Robots use object detection algorithms to capture photos of certain objects, train models, and perform model inference. Can help you better apply it in practical projects and deploy YOLOV5 to achieve more object recognition.

Machine learning object detection

(Exclusive to Raspberry Pi version)

Using YOLOV5 machine learning model training and camera visual recognition, it is possible to develop and implement functions such as traffic sign recognition, traffic light recognition, sand table road autonomous driving, etc.

New sensor gameplay

The DS-ROBOT car comes standard with infrared and ultrasonic sensors, which can achieve intelligent gameplay such as infrared line inspection, ultrasonic distance measurement, and maze walking.

Patrol function
The patrol module can automatically recognize black lines to achieve autonomous driving

Ultrasonic ranging
When obstacles are detected ahead, the distance will be displayed in real-time on the car

Patrol function
The patrol module can automatically recognize black lines to achieve autonomous driving

Ultrasonic ranging
When obstacles are detected ahead, the distance will be displayed in real-time on the car

Hardware distribution


1. Power board

3. Ultrasonic waves

5. TT motor

7. Power supply


2. Camera

4.6 infrared sensors

6. High quality tires

8. Raspberry Pi motherboard

Raspberry Pi driver power board

1.GND
2.5V
3. Power indicator light
4. Main switch
5.7-14V power interface
6. External power supply interface for the motor
7. The jumper cap needs to be removed when supplying external power
8. Motor 1
9. Motor 2
10.L298 driver chip
11.IN1ENAIN2IN4ENBIN3
12. Servo 1
13. Servo 2

14. Servo 3
15. Servo 4
16. Servo 5
17. Servo 6
18. Servo 7
19. Servo 8
20. Counter 2
21. Counter 1
22.GND
23.5V
24. Scalable GPO12
25. Scalable GPO6
26. Scalable GPO5
27. Scalable GPO7

28. Scalable GPO8
29. Scalable GPO11
30. Scalable GPO25
31. Scalable GPO9
32. Scalable GPO10
33. Follow the left infrared \ GPI024
34. Follow the right infrared \ GPI023
35. Obstacle Avoidance Intermediate Infrared \ GP1022
36. Search for the left infrared GP1027
37. Virtual move right infrared \ GP1018
38. Ultrasonic Echo, Trig \ GPI04, GPO17
39. Serial ports TX, RX \ GPI014, GPIO15
40.12C interface SDA, SCLIGPIO2, GPO3


▶ 74 series level isolation chip, L298P high-power motor driver chip (4A, 46V input range)

▶ Dual DC-DC High Performance Power Supply: SY8120ABC LM2596s Adj

▶ 4-channel LED: red power indicator * 1, blue LED connected to I0 * 3

▶ Reserve an ID-EEPROM mounting position

▶ 8-way servo control interface: powered by the motherboard, it can directly drive a 4-degree-of-freedom robotic arm and a 2-degree-of-freedom gimbal

▶ 5-way infrared sensor interface: capable of following, patrolling, tracking, obstacle avoidance and other functions

▶ 1-channel ultrasonic interface: capable of achieving functions such as distance measurement, obstacle avoidance, and navigating mazes

▶ Other GPIO: UART * 1, IIC * 1, LED corresponding pins * 3

▶ Power supply interface: 6-14V DC plug 2PIN power terminal (used for separate external power supply of motor<40V)

Product Parameters

High quality tires

Charger

TT motor

DS material package

Infrared sensor

Dupont wire

Pan-Tilt Bracket

TF card (optional)

Card reader




Information courses

1. Instructions for use

2. Study Tutorial             

3. System image

4. Software Tools             

5. Source Code Information

6. Hardware documentation

7. Other materials


Supplier Information

Email:ZevonEduBot@ttbridge.com

Tel:17734786008

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