From 5c91a0784adc6622a2767c64ae04ae27af0bc158 Mon Sep 17 00:00:00 2001 From: Carla Date: Mon, 6 Jan 2025 11:12:59 +0800 Subject: [PATCH 1/7] Resize the image of the introduction --- .../XIAO_BLE.md | 142 +++++++++++++----- 1 file changed, 101 insertions(+), 41 deletions(-) diff --git a/docs/Sensor/SeeedStudio_XIAO/SeeedStudio_XIAO_nRF52840-Sense/XIAO_BLE.md b/docs/Sensor/SeeedStudio_XIAO/SeeedStudio_XIAO_nRF52840-Sense/XIAO_BLE.md index 936f24b2f30d..d6eef72d4bd8 100644 --- a/docs/Sensor/SeeedStudio_XIAO/SeeedStudio_XIAO_nRF52840-Sense/XIAO_BLE.md +++ b/docs/Sensor/SeeedStudio_XIAO/SeeedStudio_XIAO_nRF52840-Sense/XIAO_BLE.md @@ -17,47 +17,107 @@ import TabItem from '@theme/TabItem'; -
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XIAO nRF52840XIAO nRF52840 SenseXIAO nRF52840 PlusXIAO nRF52840 Sense Plus
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XIAO nRF52840XIAO nRF52840 SenseXIAO nRF52840 PlusXIAO nRF52840 Sense Plus
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As the first wireless product in the Seeed Studio XIAO family, **Seeed Studio XIAO nRF52840** is equipped with a powerful **Nordic nRF52840 MCU** which integrates **Bluetooth 5.0** connectivity. Meanwhile, it has a **small and exquisite form-factor** which can be used for wearable devices and Internet of Things projects. The **single-sided surface-mountable design** and the onboard **Bluetooth antenna** can greatly facilitate the rapid deployment of IoT projects. From b4cae3339fa30cf9cb313fecbc6398ec72e67f66 Mon Sep 17 00:00:00 2001 From: Jessie219-web <112080869+Jessie219-web@users.noreply.github.com> Date: Tue, 7 Jan 2025 11:16:52 +0800 Subject: [PATCH 2/7] Updated SenseCAP Indicator for Meshtastic --- .../sensecap_indicator_meshtastic.md | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md b/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md index 7b64e1f567fd..ab6794f4a659 100644 --- a/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md +++ b/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md @@ -24,7 +24,7 @@ last_update:
- + Get One Now 🖱️
@@ -33,6 +33,19 @@ last_update: SenseCAP Indicator is a 4-inch touchscreen device designed for Meshtastic®, powered by dual MCUs, the ESP32 and RP2040, and supports Wi-Fi, BLE, and LoRa®. It is an open-source, powerful IoT development platform. + +:::caution note +During the process of continuous optimization and testing of the SenseCAP Indicator for Meshtastic, we found a situation that may affect your experience. In order to ensure that you can continue to enjoy the best product performance, we are currently optimizing this feature, so shipments may be delayed. + +**Identified Issue**
+In the `LONGFAST`, `LONGSLOW`, and `MIDSLOW` settings, message content exceeding `50 bytes` may result in instability and CRC errors. + +**Special Service for Previous Purchasers**
+If you are a previous purchaser and have the same issue, we are offering a special service to assist you. Please contact us at `sensecap@seeed.cc` and include your order number for support. + +Thank you for your understanding as we work to provide the best possible user experience. +::: + ## Introduction ### Feature From 641e0e5b72be3e43a46c045fbed55f94f1544195 Mon Sep 17 00:00:00 2001 From: Jessie219-web <112080869+Jessie219-web@users.noreply.github.com> Date: Tue, 7 Jan 2025 18:01:58 +0800 Subject: [PATCH 3/7] Updated SenseCAP Indicator for Meshtastic --- .../SenseCAP_Indicator/sensecap_indicator_meshtastic.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md b/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md index ab6794f4a659..c1d0fb30bc66 100644 --- a/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md +++ b/docs/Network/Meshtastic_Network/SenseCAP_Indicator/sensecap_indicator_meshtastic.md @@ -34,6 +34,7 @@ last_update: SenseCAP Indicator is a 4-inch touchscreen device designed for Meshtastic®, powered by dual MCUs, the ESP32 and RP2040, and supports Wi-Fi, BLE, and LoRa®. It is an open-source, powerful IoT development platform. + :::caution note During the process of continuous optimization and testing of the SenseCAP Indicator for Meshtastic, we found a situation that may affect your experience. In order to ensure that you can continue to enjoy the best product performance, we are currently optimizing this feature, so shipments may be delayed. @@ -82,6 +83,9 @@ Thank you for your understanding as we work to provide the best possible user ex ## Flash Firmware +:::tip +The Fancy-UI firmware has not been officially released yet, it's recommended to flash the Classic-UI firmware described in this wiki. +::: ### Flash Application Firmware From 8d7e89141e91cff61052aee41ee49c8536591acc Mon Sep 17 00:00:00 2001 From: JasonWenTin Date: Wed, 8 Jan 2025 11:01:17 +0800 Subject: [PATCH 4/7] add wiki for train AI --- .../SenseCAP_A1102/TrainAI_With_A1102.md | 101 +++++++++++++----- 1 file changed, 72 insertions(+), 29 deletions(-) diff --git a/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md b/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md index 31b261b6cc62..72b5e127a2f5 100644 --- a/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md +++ b/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md @@ -1,77 +1,122 @@ --- description: Train_AI_With_A1102 -title: SenseCraft AI With A1102 +title: Deploy AI Models on SenseCAP A1102 Using SenseCraft AI keywords: - Sensor Vision_AI_V2 -image: https://files.seeedstudio.com/wiki/A1102/SenseCraft_AI_With_A1102/20.jpg +- SenseCAP A1102 +- SenseCraft AI +image: https://files.seeedstudio.com/wiki/A1102/SenseCraft_AI_With_A1102/top.webp slug: /train_ai_with_a1102 sidebar_position: 2 -sidebar_class_name: hidden +# sidebar_class_name: hidden last_update: date: 12/23/2024 author: Jason --- -# Deploying models to SenseCAP A1102 with SenseCraft AI +# Deploying AI Models on SenseCAP A1102 Using SenseCraft AI +The SenseCAP A1102 is a powerful sensor device that combines advanced AI capabilities with ease of deployment. This guide will walk you through deploying AI models on the A1102 using the **SenseCraft AI** app, offering step-by-step instructions for pairing, configuration, and testing.
-### Connect with SenseCraft APP +## **Getting Started with SenseCAP A1102** +### **What is SenseCAP A1102?** +The SenseCAP A1102 is an intelligent camera sensor designed for edge AI applications. Equipped with 8GB of memory, it can: +- Deploy custom AI models. +- Automatically save recognized images. +- Enable real-time recognition with high accuracy. -**Step 1 :**Press and hold for three seconds for device pairing +### **Requirements** +Before starting, ensure you have: +- The SenseCAP A1102 device. +- The **SenseCraft AI** app installed on your smartphone. +- Any pre-trained AI model for deployment. + + +## **Connecting the SenseCAP A1102 to SenseCraft AI** + +### **Device Pairing** + +Press and hold the power button on the SenseCAP A1102 for **three seconds** to enable pairing mode.
-**Setp 2 :** When the serial number is scanned, click on Pairing. +In the SenseCraft AI app, scan the serial number of the A1102 device and tap on **Pairing**.
-**Setp 3 :** Click on Advanced Settings -
+## **Configuring the SenseCAP A1102** -**Setp 4 :** Click on Advanced Settings +### **Access Advanced Settings** -
+Once paired, click on **Advanced Settings** in the SenseCraft AI app. -**Setp 5 :** Click on our camera models for pairing +
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+Navigate to additional configuration options by clicking **Advanced Settings** again. -**Setp 6 :** Select the AI model we need to deploy +
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+## **Deploying an AI Model** -**Step 7 .** Select whether to save the recognizer image and set the confidence level +### **Selecting an AI Model** +From the settings menu, select your desired AI model for deployment. Choose from pre-loaded models or upload a custom model. -
+
-:::tip -Equipped with 8GB of memory, the A1102 is able to automatically save images to the memory card when a target is recognized. When we need to access this image information, we can extract and access the required image data directly from the memory card. -::: +### **Configuring Model Parameters** +Set parameters like: +- **Confidence Level**: Adjust the threshold for object recognition (e.g., 80% confidence). +- **Save Recognized Images**: Enable or disable saving recognized images to the memory card. + +
+ + +## **Testing and Running the Model** + +### **Preview Camera Capture** +After deploying the model, preview the camera's captured images directly in the app to ensure the model is working as expected. +
-**Step 8 .** Return to the APP homepage to see the device information of A1102 +### **View Device Information** +Return to the app's homepage to check the device information of the A1102, such as model status, connectivity.
-**Step 9 .** Tap it again to see the recognized information, here as an example of 5 minutes to report the recognition results +### **Review Recognition Results** +View the recognition data and logs. For example, set a reporting interval (e.g., every 5 minutes) to track recognized objects. -
+
- +Locate the four screw holes and rotate the knobs to open them. Make sure to apply consistent pressure while turning to ensure they come loose. +
-# Tech Support +Once the screws are loosened, remove the cover to access the SD card slot. You can then take out the SD card to read the information stored inside. +
+ +### **Automatic Image Saving** +With 8GB of internal memory, the A1102 can automatically save recognized images to a memory card. Access and retrieve these images later for analysis or reporting. + +:::tip +Equipped with 8GB of memory, the A1102 is able to automatically save images to the memory card when a target is recognized. When we need to access this image information, we can extract and access the required image data directly from the memory card. +::: + + +## **Tech Support & Product Discussion** Thank you for choosing our products! We are here to provide you with different support to ensure that your experience with our products is as smooth as possible. We offer several communication channels to cater to different preferences and needs. @@ -83,6 +128,4 @@ Thank you for choosing our products! We are here to provide you with different s
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- - + \ No newline at end of file From 5e453baa3b351b5c9e4a3d342aa2b55efbdab7a3 Mon Sep 17 00:00:00 2001 From: JasonWenTin Date: Wed, 8 Jan 2025 11:09:48 +0800 Subject: [PATCH 5/7] modif conflicting --- .../SenseCAP_A1102/TrainAI_With_A1102.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md b/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md index 72b5e127a2f5..fb12934cb082 100644 --- a/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md +++ b/docs/Sensor/SenseCAP/SenseCAP_LoRaWAN_Sensor/SenseCAP_A1102/TrainAI_With_A1102.md @@ -5,7 +5,7 @@ keywords: - Sensor Vision_AI_V2 - SenseCAP A1102 - SenseCraft AI -image: https://files.seeedstudio.com/wiki/A1102/SenseCraft_AI_With_A1102/top.webp +image: https://files.seeedstudio.com/wiki/A1102/SenseCraft_AI_With_A1102/top2.webp slug: /train_ai_with_a1102 sidebar_position: 2 # sidebar_class_name: hidden From 5a58b2d8d7cc535e71f9fa81be28286d74cd47f8 Mon Sep 17 00:00:00 2001 From: Chengxun Lee <24319042+bclswl0827@users.noreply.github.com> Date: Wed, 8 Jan 2025 14:33:08 +0800 Subject: [PATCH 6/7] docs: Updated the method of controlling peripherals of R1000 --- .../reComputer_R1000/recomputer_r.md | 52 +++++++++++-------- 1 file changed, 30 insertions(+), 22 deletions(-) diff --git a/docs/Edge/Raspberry_Pi_Devices/reComputer_R1000/recomputer_r.md b/docs/Edge/Raspberry_Pi_Devices/reComputer_R1000/recomputer_r.md index 587f9ba861ef..87e19e92e7b5 100644 --- a/docs/Edge/Raspberry_Pi_Devices/reComputer_R1000/recomputer_r.md +++ b/docs/Edge/Raspberry_Pi_Devices/reComputer_R1000/recomputer_r.md @@ -7,8 +7,8 @@ keywords: image: https://files.seeedstudio.com/wiki/wiki-platform/S-tempor.png slug: /recomputer_r last_update: - date: 05/06/2024 - author: Parker Hu + date: 01/08/2025 + author: Joshua Lee ---