Instead of wondering, just ask AI. Nothing wrong with that at all, I think it should become second nature to ask, you just need to remember that the response is just as likely to be bs as valuable.
Here's what it returned when I asked about creating an AI engine to help technicians do diagnosis. Now this response is software developer oriented, but it has a lot of interesting points, especially on harvesting sensor data from diagnostic tools.
If I wasn't retired, I would love to work on a first phase of a project that goes something like this (later phases would integrate AI into the scanner) : The AI would ask the user to input a code or symptoms. For applicable issues, it then specifies where to connect diagnostic probes and how to set up the scanner.
Technician then compares actual readings to samples shown by AI and follows instructions on what to do based on the closest matching waveform.
Thinking about this a bit more, this doesn't really help a tech understand the root cause, it's just a more sophisticated version of: scanner reports code AXXXX and flowchart says replace component ZZZ
But having something like the above capabilities may still be very helpful since it seems like inexperienced technicians may not know what they are looking at, or even what to look at if they do actually hook up or want to hook up a diagnostic scanner.
FYI This was the AI response to my question about building a custom AI for automotive diagnostics :
Here’s a more detailed roadmap to help you get started:
1. Data Collection
- Historical Data: Collect past diagnostic reports, repair logs, and service manuals. This data will help the AI learn common issues and their solutions.
- Sensor Data: Gather real-time data from vehicle sensors, including engine performance, emissions, and other critical parameters.
2. Data Preparation
- Cleaning: Ensure the data is clean and free from errors. This involves removing duplicates, correcting inaccuracies, and standardizing formats.
- Labeling: Label the data with relevant tags, such as specific issues, symptoms, and corresponding fixes.
3. Choosing the Right AI Model
- Machine Learning Models: Use models like decision trees, random forests, or neural networks to analyze the data and identify patterns.
- Natural Language Processing (NLP): Implement NLP to understand and process textual data from service manuals and diagnostic reports.
4. Training the Model
- Supervised Learning: Train the model using labeled data. This involves feeding the model input data along with the correct output so it can learn the relationship between them.
- Validation and Testing: Split the data into training and testing sets to validate the model’s accuracy and performance.
5. Integration with Diagnostic Tools
- OBD2 Scanners: Integrate the AI with OBD2 scanners to read and interpret diagnostic trouble codes (DTCs) in real-time.
- Diagnostic Software: Use platforms like ALLDATA DIY or MotorData to provide comprehensive diagnostic information and repair procedures.
6. Continuous Learning and Improvement
- Feedback Loop: Implement a feedback loop where technicians can provide input on the AI’s recommendations, helping to refine and improve the model over time.
- Updates: Regularly update the AI with new data and repair techniques to keep it current with the latest automotive technologies.
Tools and Resources
- Development Environment: Set up a robust development environment with tools like Python, TensorFlow, or PyTorch for building and training your models.
- Data Storage: Use databases like MongoDB or SQL for storing and managing your data.
- APIs and Integration: Develop APIs to integrate the AI engine with existing diagnostic tools and platforms.
Team and Expertise
- Data Scientists: To handle data preparation, model training, and validation.
- Software Engineers: For developing the integration and deployment of the AI engine.
- Automotive Experts: To provide domain-specific knowledge and ensure the AI’s recommendations are accurate and practical.
By following this roadmap, you can create a powerful AI engine tailored to your specific needs.