STM32 Smart Car K230 Multifunctional Robot Kit with OLED & Sensors

Price 9297.0 INR/ Piece

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STM32 Smart Car K230 Multifunctional Robot Kit with OLED & Sensors Specification

Cooling Method
Passive Natural Convection Heat Dissipation over exposed processing plates

Voltage
7.4V DC Nominal Operating Input Volt (v)

Rated Voltage
7.4V DC Nominal Operating Input Volt (V)

Noise Level
$\le$ 45 dB (Muffled mechanical gear meshing during acceleration) db

Protect Feature
Other

Starting Type
Electric Start

Power
On-Board 7.4V 2000mAh High-Capacity Rechargeable Lithium-Ion Battery Pack Volt (v)

Usage & Applications
PID Control Loop Tuning, Deep Learning Model Deployment, Object/Face Tracking, SLAM Mapping. Advanced University Engineering Labs, Corporate R&D Robotics Hubs, STEM Training Frameworks.

Dimension (L*W*H)
Form-factored dual-deck layout roughly scaled at 22.0 cm $\times$ 16.5 cm $\times$ 14.0 cm Centimeter (cm)

Operating Temperature
-10 C to +50 C Heavy-Duty Environmental Limits Celsius (oC)

Weight
1.2 Kilograms (kg) Net Mechanical System Mass Weight (Excluding external heavy payload arrays) Kilograms (kg)

Display Type
On-Board 0.96-Inch High-Contrast Blue OLED Display Module (For real-time telemetry, battery, and PID logs)

Mounting Type
Standoff Bolt Placement Layout supporting secondary expansion decks

STM32 Smart Car K230 Multifunctional Robot Kit with OLED & Sensors Trade Information

Minimum Order Quantity
1 Piece

Delivery Time
7 Days

About STM32 Smart Car K230 Multifunctional Robot Kit with OLED & Sensors

Description

The REES52 STM32 Smart Car K230 is an industrial-grade, multifunctional self-balancing and 4-wheel mobile robotics learning platform engineered for advanced Edge AI training, computer vision development, and complex automation testing. Driven by a high-performance STM32 Main Control Board working in tandem with the cutting-edge Kendryte K230 RISC-V 6TOPS AI Vision Module, this kit executes high-speed image processing, real-time facial recognition, object tracking, and deep learning algorithms completely on the edge. Equipped with high-performance 310 encoder motors, a precise 6-axis MPU6050 gyroscope/accelerometer matrix, and real-time OLED telemetry data tracking, the system provides rock-solid dynamic stability for balancing experiments and autonomous path planning. Available in multiple modular configurationsincluding standard tracking, panning servo PTZ, and advanced LiDAR navigation packagesthis scalable kit serves as an ideal turnkey B2B deployment solution for university robotics laboratories, high-level STEM institutes, and technical engineering testbeds.

Complete Kit Packages / Variants Matrix

To cater directly to corporate and academic scale procurement pipelines, this platform is listed under seven modular variant iterations:

Kit Variant	Package Structural Contents & Functional Matrix Differences
Standard Kit	Base smart chassis with 4 encoder motors, STM32 board, 7.4V battery pack, OLED screen, and HC-SR04 ultrasonic sensor.
Tracking Kit	All Standard components + multi-channel high-sensitivity infrared ground array sensors for autonomous line tracking.
Handle Control Kit	All Standard components + heavy-duty 2.4GHz PS2 Wireless Handle Controller for manual remote driving options.
Servo PTZ Kit	All Standard components + Dual-DOF (Pan-Tilt-Zoom) electric servo steering gimbal mount for camera dynamic positioning.
Visual Kit	All Standard components + Kendryte K230 6TOPS RISC-V Camera Module for edge vision capabilities.
Visual Voice Kit	Upgraded Visual package adding an on-board semantic Voice Interaction hardware module for offline voice parsing.
Full Kit	The complete commercial package combining AI vision, voice interaction, line tracking, the PTZ gimbal, and the PS2 controller.

Key Performance Highlights & Features

Dual-Core AI Processing Split: Features an ultra-efficient architectural split. While the responsive STM32 microcontroller continuously runs complex real-time operations like PID self-balancing loops and encoder updates, the massive 6TOPS K230 processor is freed up entirely to calculate advanced neural networks, bounding boxes, and image streams.
Industrial 6-Axis Motion Balancing: Houses an onboard MPU6050 gyroscope and accelerometer matrix paired with a high-speed complementary filtering algorithm. This allows the chassis to accurately calculate incline adjustments down to microsecond intervals, giving the robot smooth balancing recoveries under external forces.
Foolproof Modular Hardware Layout: Ditch chaotic spaghetti wire setups. The platform's multi-layered metal expansion board neatly categorizes connectivity paths into clear plug-and-play ports. This protects sensitive I/O pins from accidental shorts while making it easy for students to expand the rig.
Next-Gen K230 Edge-Vision Library: Ships pre-configured with over 30 edge computing vision demos via the CanMV IDE (Python framework). Right out of the box, engineers can quickly test human posture profiling, traffic sign identification, real-time code scanning, and face landmark mapping.

Frequently Asked Questions (FAQs)

Q1: Can this kit switch between a 2-wheel self-balancing layout and a standard 4-wheel rover drive format?

A: Yes, absolutely. The K230 kit features a highly modular dual-layer metal framework. For stability-focused machine learning or LiDAR SLAM mapping courses, it configures cleanly into a solid 4-wheel layout. For advanced control theory and inverted pendulum studies, it converts down into a classic 2-wheel dual-encoder balancing robot.

Q2: Which programming environments are best suited for editing the robot's code layers?

A: The platform smoothly bridges low-level firmware engineering with high-level AI deployment. The low-level motor drives, encoder signals, and balance PID controllers are developed in C/C++ using industry-standard tools like Keil uVision or STM32CubeIDE. The advanced image recognition and neural network structures on the K230 side are coded in MicroPython using the CanMV IDE interface.

Q3: Does the kit include an integrated charging and over-current protection system?

A: Yes, safety is baked directly into the hardware. The bundled 7.4V 2000mAh lithium battery pack is entirely encased in a heavy-duty structural shell featuring built-in over-charge, over-discharge, and output short-circuit safety fuses, ensuring safe operations in busy student lab spaces.