ACEBOTT AI Vision Expansion Pack for TinkerBott Smart Car QD107

Specification

• Product Model: QD107
• Module Type: AI Vision Expansion Pack
• AI Processor: Kendryte K210 AI Chip
• AI Functions: Face Recognition, Color Recognition, Object Detection, Line Tracking
• Programming Support: Blockly (Microsoft MakeCode), ACECode
• Communication Interface: UART / I²C
• AI Processing: Offline Edge AI (No Cloud Required)
• Primary Compatibility: ACEBOTT TinkerBott Smart Car (QD024)
• Recommended Age: 8+ Years
• Application: STEM Education, AI & Robotics Learning

Minimum Hardware

• ACEBOTT TinkerBott Smart Car Kit: This is a dedicated expansion pack and requires the base TinkerBott chassis and mainboard to function.
  
• 18650 Li-ion Batteries (2x): Required to provide sufficient stable current for both the car motors and the AI camera module simultaneously, as standard AA batteries will suffer from voltage drop under load.
  
• PC or Laptop: To interface with the block-based coding environment or Arduino IDE to upload the vision-processing firmware.

⚠️ Safety Warnings:

• WARNING: Choking Hazard – Contains small parts. Not suitable for children under 3 years of age. 
• Orientation Check: Always verify the alignment of the 4-pin interface cable before applying power. Reversing the VCC and GND connections can cause immediate damage to the camera sensor.
• Power Supply: Ensure the TinkerBott Smart Car is powered by fully charged batteries before operating the AI Vision module.
• Installation: Verify all connections are secure before switching on the system.

Accessories Included in the Box:

• 1× ACEBOTT QD107 AI Vision Camera Module
• 1× Custom Mounting Bracket set for TinkerBott Car
• 1× 4-Pin Connection Cable (I2C/UART compatible)
  Mounting screws and standoffs

Frequently Asked Questions

• Is the QD107 AI Vision Expansion Pack compatible with standard Arduino Uno boards?
  While designed natively for the TinkerBott mainboard, it communicates via standard I2C/UART, making it technically compatible with Arduino Uno if you write custom parsing code.
• Can I use this camera module with a Raspberry Pi?
  Yes, the serial data stream can be read by a Raspberry Pi, though it requires advanced Python programming as official libraries are tailored for microcontrollers.
• Does it work with other ACEBOTT car kits besides the TinkerBott?
  The electronic module is standard across the ACEBOTT ecosystem, but the included physical mounting brackets are specifically designed for the TinkerBott chassis.
• Can I use multiple vision modules on a single TinkerBott?
  No, the TinkerBott mainboard firmware and hardware resources only support interfacing with one active AI camera module at a time.
• What voltage does the QD107 module require?
  The module operates safely on a stable 3.3V to 5V DC power supply.
  
• Can standard AA batteries power the TinkerBott with the vision module attached?
  No, high-discharge 18650 lithium-ion batteries are strictly required because AA batteries will suffer severe voltage drops when the motors and AI processor run simultaneously.
  
• How much current does the AI camera draw during operation?
  The AI processor and camera sensor draw up to 300mA during active visual recognition tasks.
• How do I connect the QD107 to the TinkerBott mainboard?
  Use the included 4-pin custom cable to connect the module directly to the dedicated I2C/UART expansion header on your TinkerBott board.
  
• Do I need to solder any connections to install this expansion pack?
  No, the entire expansion kit is completely plug-and-play and uses standard keyed connectors to prevent backwards wiring.
  
• Can I wire the module using standard jumper wires instead of the provided cable?
  Yes, provided you carefully match the VCC, GND, TX, and RX pins without crossing the power lines.
• Which coding environment is used to program the AI vision features?
  It is fully compatible with ACEBOTT's proprietary block-based coding software for beginners, as well as the standard Arduino IDE for advanced users.
• Does the module support MicroPython?
  While the hardware communicates via standard serial protocols that MicroPython can read, there are currently no official ACEBOTT MicroPython libraries.
• Why is my TinkerBott not responding to recognized objects?
  Ensure your TX and RX pins are not swapped (if wiring manually) and check that the camera lens is completely free of fingerprints or dust.
  
• Why does the camera module keep restarting during operation?
  This is a classic symptom of power starvation; ensure your 18650 batteries are fully charged and seated correctly in their holder.
  
• My computer doesn't recognize the TinkerBott when I try to upload vision code — what's wrong? The vision module may be drawing too much power from your computer's USB port; ensure the robot's main battery power is turned on before uploading code.