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  2. dipu_varghese
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dipu_varghese

@dipu_varghese

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Joined 3 Apr 2023, 06:32 Last Online 11 May 2023, 18:44

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Best posts made by dipu_varghese

  • Edge Impulse Inference to IoT Dashboard

    Dear Community,

    I am currently working on an Edge Impulse project and have a query regarding the pre-built firmware that can be exported through the platform. Although I am able to read the data through the CLI/serial monitor, I am unsure about how to transfer this inference data/results to an IoT dashboard since the pre-built firmware cannot be edited.

    While I can achieve this through the Arduino library, the accuracy of the inference results is better when using the pre-built firmware.

    Best regards,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    3 Apr 2023, 06:47
  • RE: Edge Impulse Inference to IoT Dashboard

    @salmanfaris thank you so much man, I'll try this and update you shortly. Thank you once again.

    Best,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    7 May 2023, 13:02

Latest posts made by dipu_varghese

  • RE: Edge Impulse Inference to IoT Dashboard

    @salmanfaris thank you so much man, I'll try this and update you shortly. Thank you once again.

    Best,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    7 May 2023, 13:02
  • RE: Edge Impulse Inference to IoT Dashboard

    @salmanfaris any updates?

    Best,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    2 May 2023, 11:11
  • RE: Edge Impulse Inference to IoT Dashboard

    @salmanfaris Hope you're doing well, did you get sometime to work on this?

    Best,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    12 Apr 2023, 13:49
  • RE: Edge Impulse Inference to IoT Dashboard

    @salmanfaris I really appreciate your help and look forward to seeing the example.

    Best,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    5 Apr 2023, 15:23
  • RE: Edge Impulse Inference to IoT Dashboard

    Thank you for your response! @salmanfaris 🙂

    It makes sense that filtering out the specific data points that are needed and sending them to the cloud would be the way to go.

    If it's not too much trouble, could you please provide me with an example of how to filter out and send only the necessary inferencing data to the cloud?

    Thank you again for your help!

    Best,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    5 Apr 2023, 09:21
  • RE: Edge Impulse Inference to IoT Dashboard

    Hi @salmanfaris

    Thank you for sharing these two methods to take data/output information to the cloud. It's very helpful, and I appreciate your willingness to share your knowledge and expertise.

    Regarding the second method, could you please clarify what kind of processing and cleaning of data needs to be done before pushing it to the cloud? Thank you!

    Best,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    4 Apr 2023, 08:43
  • Edge Impulse Inference to IoT Dashboard

    Dear Community,

    I am currently working on an Edge Impulse project and have a query regarding the pre-built firmware that can be exported through the platform. Although I am able to read the data through the CLI/serial monitor, I am unsure about how to transfer this inference data/results to an IoT dashboard since the pre-built firmware cannot be edited.

    While I can achieve this through the Arduino library, the accuracy of the inference results is better when using the pre-built firmware.

    Best regards,
    Dipu

    posted in General Discussion
    D
    dipu_varghese
    3 Apr 2023, 06:47

Recent Posts

  • @Neha-Kamal Nice one, Can you share the project link also here. Thanks 🙌.

    25 days ago • read more
  • A

    Solution Architecture
    Module Selection: Miniature surface-mount PIR modules (e.g., HC-SR501) with size <20mm×20mm for integration into embedded lighting (ceiling lights, corridor lamps).
    Linkage Logic: Connect to MCUs (e.g., ESP32) via GPIO for "person detected - full brightness; person present - dimmed; person leaves - 30s delay off" control. Integrate light sensors (e.g., BH1750) for daytime auto-shutdown.
    Energy Savings: Reduces lighting energy consumption by 30%-50% compared to traditional switches, ideal for corridors and bathrooms.

    Typical Scenarios Smart Homes: Integrates with Alexa/Mijia systems, allowing APP-adjustable sensing distance and delays. Commercial Lighting: Mall corridors use zoned sensing via RS485 bus for collaborative multi-module control.

    III. Optimization of Sensing Solutions for Security Systems

    Enhanced Intrusion Detection Design Anti-Interference Technology: Dual-element complementary sensors suppress ambient temperature interference; pulse counting (2 consecutive pulses trigger alarm) reduces false positives. Multi-Dimensional Linkage: Combines with microwave radar modules (e.g., HB100) for "infrared + microwave" dual detection, triggering alarms only when both activate to avoid curtain sway or insect interference. Concealed Installation: Modules with integrated lens-housing designs (e.g., RE200B) hide within ceilings or decor for covert security. Data Transmission and Response Wireless Transmission: LoRa modules (e.g., EBYTE E32-433T30D) enable low-power long-range (3km open area) data upload, suitable for villa/factory perimeter security. Rapid Response: <0.5s trigger delay, with local buzzer alerts and cloud notifications (via NB-IoT) within <3s.

    IV. Selection and Deployment Considerations

    Environmental Adaptation Avoid direct exposure to air vents/heating sources. Install at 2.2-2.8m (indoor) or 3-5m (outdoor) height, tilted 15°-30° to cover human activity zones. Outdoor use requires IP65 waterproof modules (e.g., AM312-IP67) with sunshades to minimize solar interference. Cost-Reliability Balance Consumer scenarios: HC-SR501 (~$2/unit); industrial use: Prioritize stability (e.g., Panasonic EKMC1603111, temp drift <±2%/℃). Batch deployment: Reserve 10% redundant modules with self-diagnostic voltage checks for fault

    27 days ago • read more
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