Board-new-dat/HV-module-dat/HV-module-dat.md
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@@ -5,6 +5,12 @@
5 5
- High Voltage Boost Module
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7 7
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+## potention quality issue
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+
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+- please double check the large capacitor, if the withstand voltage is not enough, it may explode
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+
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+
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+
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## Module Function
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10 16
![](2025-10-08-15-19-42.png)
Board-new-dat/RP2350-board-dat/2025-10-08-15-51-17.png
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Board-new-dat/RP2350-board-dat/2025-10-08-15-51-43.png
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Board-new-dat/RP2350-board-dat/RP2350-board-dat.md
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@@ -61,8 +61,21 @@ Main features include:
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| Programming Method | Recognized as mass storage device, drag-and-drop upload |
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| Development Environment | Visual Studio Code, Eclipse |
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+## SCH
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+core chip
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+![](2025-10-08-15-51-17.png)
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+
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+![](2025-10-08-15-51-43.png)
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+
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+- [[flash-dat]] - [[LDO-dat]]
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+
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+- button GPIO24 and RUN
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+
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+- [[WS2812-dat]] at GPIO23
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+
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+- [[voltage-reference-dat]]
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## ref
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Chip-cn-dat/microne-dat/2025-10-08-15-53-07.png
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Chip-cn-dat/microne-dat/microne-dat.md
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@@ -30,7 +30,11 @@
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- Maximum Output Current: 500mA
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+## ME6215
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+ME6215 == 500mA, High Input Voltage LDO Regulators, Input Voltage: 2V to 18V, Dropout Voltage: 0.3V@500mA (3.3V Output)
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+
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+![](2025-10-08-15-53-07.png)
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36 40
Tech-dat/media-dat/video-dat/vision-dat/vision-dat.md
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@@ -17,6 +17,31 @@ Open source vision project:
17 17
- **GitHub**: [https://github.com/ultralytics/yolov5](https://github.com/ultralytics/yolov5)
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- **Note**: Fast, widely used for real-time detection.
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+
21
+- [[OPENCV-dat]] - [[OPENMV-dat]]
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+
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+
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+| Feature / Aspect | **OpenMV** | **OpenCV** |
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+| ------------------------- | ----------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- |
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+| **Type** | Hardware + Firmware (microcontroller-based smart camera) | Software library (runs on PC, Raspberry Pi, etc.) |
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+| **Main Goal** | Embedded **AI vision camera** for edge detection, color tracking, face/object recognition — all **onboard** | Comprehensive **computer vision library** for image/video processing, ML, and AI applications |
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+| **Programming Language** | MicroPython (simplified for embedded use) | C++, Python, Java, etc. |
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+| **Processing Power** | Runs on ARM Cortex-M (or H7) MCU – limited but real-time and low power | Depends on host system (CPU/GPU/TPU). Can handle deep learning, OpenCL, CUDA acceleration |
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+| **AI / ML Capability** | Supports basic CNN models and TensorFlow Lite Micro | Supports **DNN module**, full TensorFlow / PyTorch integration, YOLO, OpenVINO, etc. |
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+| **Ease of Use** | Plug-and-play, with OpenMV IDE and onboard camera | Requires manual setup and coding environment |
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+| **Use Case Examples** | Line following robots, color blob tracking, face detection for IoT | Face recognition, motion tracking, object detection, SLAM, AR, advanced analytics |
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+| **Hardware Integration** | Standalone camera module | Depends on external camera (USB, IP, CSI, etc.) |
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+| **Community & Ecosystem** | Smaller but focused on robotics and IoT | Very large global developer and research community |
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+| **Example Devices** | OpenMV Cam H7, OpenMV Cam RT1062, OpenMV PureThermal | Works with any PC, Raspberry Pi, NVIDIA Jetson, etc. |
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+
37
+**Summary:**
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+- 🧠 **OpenCV** is the *most advanced* and widely recognized **computer vision framework** for research, AI, and deep learning.
39
+- 🎯 **OpenMV** is a *self-contained smart camera project* designed for embedded systems and robotics — simpler but more practical for real-time low-power vision at the edge.
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+
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+
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+
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+
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+
20 45
## ref
21 46
22 47
- [[camera-dat]]
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\ No newline at end of file
Tech-dat/memory-dat/flash-dat/2025-10-08-15-52-28.png
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Tech-dat/memory-dat/flash-dat/flash-dat.md
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@@ -39,6 +39,12 @@ NOR flash is a type of non-volatile memory that allows random read access. It is
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S29GL128P90TFIR10 - NOR Flash 128Mb 3V 90ns Parallel NOR Flash
41 41
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+## SCH
43
+
44
+- flash with bypass button
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+
46
+![](2025-10-08-15-52-28.png)
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+
42 48
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## SPI NAND
44 50
Tech-dat/sensor-camera-dat/camera-SDK-dat/opencv-dat.md
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@@ -4,6 +4,24 @@
4 4
- [[camera-sdk-dat]]
5 5
6 6
7
+Using OpenCV with Python on Android (via Termux or Pydroid3)
8
+
9
+Install Pydroid3 from Play Store.
10
+
11
+Inside Pydroid3, run: pip install opencv-python
12
+
13
+Then you can run normal OpenCV Python scripts:
14
+
15
+```
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+import cv2
17
+img = cv2.imread("photo.jpg")
18
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
19
+cv2.imshow("Gray", gray)
20
+cv2.waitKey(0)
21
+```
22
+
23
+
24
+
7 25
## demo code
8 26
9 27
# run this on Linux PC with opencv-python module
Tech-dat/voltage-reference-dat/2025-10-08-15-54-45.png
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Tech-dat/voltage-reference-dat/voltage-reference-dat.md
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@@ -19,11 +19,17 @@ Output voltage options
19 19
20 20
- [[ADC-dat]]
21 21
22
+for ADC-AVDD
22 23
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+![](2025-10-08-15-54-45.png)
23 25
24 26
25 27
- [[peripherals-dat]]
26 28
29
+
30
+
31
+
32
+
27 33
## TL431
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29 35