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Factory reset Vision AI Developer kit does not work
Hi, I am trying to do factory reset of vision-ai-developer-kit. But clicking twice on power button does not work! Initially I tried connecting the device to wifi and I am trying to reset my wifi settings now. The camera always gets connected to wifi (green led lights on) but no IoT connectivity. I tried `http://xx.xx.xx.xx:3000/ to see the stream but not able to connect. I tried pinging but I get to see Request timed out. as response. Also via vls player with rtsp (`rtsp://XX.XX.XX.XX:8900/live`) I tried with adb but still not able to connect with the device adb connect `XX.XX.XX.XX:3000 ` cannot connect to `XX.XX.XX:3000` A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond. (10060) Can someone please let me know how to do proceed or do factory reset? Thanks. Any help would be really helpful in setting up this kit quickly. Thanks. Regards LaviDesigning Reliable IoT Solutions: From Edge Devices to the Cloud
Building an IoT solution is more than connecting a sensor to the cloud. A reliable system needs a well-designed architecture across the entire data pipeline—from the physical device to edge processing, connectivity, cloud services, and the final application. Here are several important areas to consider when designing an IoT deployment. Device requirements Before selecting hardware or connectivity, define power requirements, sensor accuracy, environmental conditions, expected device lifetime, data frequency, and deployment scale. Edge processing Sending every measurement directly to the cloud may not always be efficient. Edge processing can reduce bandwidth usage, improve response times, and allow devices to continue performing critical functions when connectivity is temporarily unavailable. Connectivity Industrial and remote IoT deployments cannot always depend on a stable network connection. Local buffering, retry mechanisms, synchronization, and appropriate communication protocols can make a significant difference. Security Device authentication, encrypted communication, secure credentials, firmware integrity, access control, and secure OTA updates should be considered from the beginning. Scalability An architecture that works for 10 devices may behave very differently with 10,000 devices. Device provisioning, monitoring, telemetry management, firmware updates, and diagnostics should be designed with the expected scale in mind. From prototype to production For a commercial IoT product, the prototype is only one stage. PCB design, component availability, BOM optimization, testing, enclosure design, DFM, and production support all influence whether the product can successfully move into volume production. At DevoForge, we're interested in the engineering challenges involved in building reliable connected products—from embedded hardware and PCB design to IoT and industrial automation. For those working with IoT at scale: what has been your biggest challenge—device management, connectivity, security, cloud architecture, or hardware reliability?Design Advice: Building an IoT News/Social Media Ticker Screen (Storify News/RSS Aggregator)
Hello Community, I am working on an IoT hardware project aimed at building a standalone desktop display (or smart home gadget) that aggregates and streams live updates, news feeds, and social media summaries (similar to the concept of curated Storify News website stories). I want to implement this using a low-power microcontroller (like an ESP32 or a Raspberry Pi Pico W) paired with an e-Paper/e-Ink display to preserve battery life. I have a couple of hardware engineering questions: What are the best practices for power management and deep-sleep states when a device needs to wake up every 15–30 minutes via Wi-Fi to fetch text/JSON news payloads? Are there specific display driver ICs or e-ink modules that play most nicely with Azure IoT Hub or Azure Sphere if I want to scale this into a secure, managed device? I would love to hear any recommendations on component selection or power-saving schematics. Thanks!Zigbee Dongle vs. Dedicated Gateway for Azure IoT: An Architecture Choice
Hello Azure IoT Community, I'm deep into the architecture phase of a large-scale smart building project, using Azure IoT Hub as our central command. We're incorporating numerous Zigbee-based sensors and actuators for energy and environment monitoring. A critical debate has emerged: should we rely on a centralized Zigbee USB dongle, or deploy distributed, dedicated Zigbee gateways like the OWON SEG-X5? This decision impacts system resilience, cloud integration efficiency, and long-term operational stability. The Core Trade-off: Simplicity vs. Resilience Option A: The Centralized Dongle Approach This model uses a USB dongle connected to a gateway server, which becomes the sole coordinator for the Zigbee network before relaying data to IoT Hub. The Appeal: Low initial cost and simplicity for prototyping. The Scalability Risk: This creates a Single Point of Failure (SPOF). If the host server needs maintenance or encounters an issue, the entire Zigbee network—and all dependent automations—go offline. For a commercial building, this is a critical operational risk. Option B: The Distributed Gateway Architecture This model employs dedicated, standalone Zigbee gateways (e.g., https://www.owon-smart.com/zigbee-gateway-zigbeeethernetble-seg-x5-product/) deployed across different zones or floors. Each forms its own robust mesh and connects directly to Azure IoT Hub. The Resilience Gain: Faults are isolated. One gateway’s maintenance affects only its zone. The Edge Intelligence Advantage: Modern gateways can process data and execute rules locally. For instance, a gateway can directly process inputs from a Zigbee Door/Window Sensor (DWS 312) and a Multi-Sensor (PIR 323) to trigger a local light switch, all without a round-trip to the cloud. This aligns perfectly with the Azure IoT Edge paradigm, ensuring responsiveness and offline operation. Streamlined Cloud Integration: Gateways like the SEG-X5 come with integrated MQTT API support, allowing them to send structured data directly to IoT Hub, simplifying device management and message routing in the cloud. A Practical Insight from an ODM Case Study Our experience as an IoT ODM manufacturer has shown this shift in practice. In a project akin to the Hotel Room Management case in our portfolio, the initial design using a central server with dongles presented reliability concerns. The final solution utilized distributed OWON SEG-X5 Zigbee Gateways in each hotel wing. These gateways managed all in-room devices—from Smart Sockets (WSP 406 series) and Light Switches (SLC series) to Thermostats (PCT 504)—locally. They used their MQTT API to send consolidated occupancy and energy data to the building's cloud platform (integrated with IoT Hub). The result was a system where guest room automation remained functional despite network fluctuations, and maintenance could be performed per wing without building-wide impact. Conclusion and Discussion For proof-of-concepts, dongles are sufficient. For production-grade, scalable deployments where uptime is critical, dedicated gateways provide the necessary architectural foundation. I'm keen to hear from the community: In your Azure IoT solutions, how have you integrated non-IP protocol devices like Zigbee? What strategies do you employ to balance edge processing with cloud analytics? For those using gateway architectures, how do you handle device provisioning and security at scale? If you're interested in the technical specifics of how Zigbee gateways interface with cloud platforms, including API structures and network design considerations, we've elaborated on these topics in a technical overview on our site: [https://www.owon-smart.com/news/zigbee-dongles-vs-gateways-how-to-choose-the-right-network-coordinator/ ]. Looking forward to a fruitful discussion.
Routing on IOT Edge
Hi, I have a problem that I have been dealing with for quite some time. Trying to put a "where" in a routing for AZIOT edge hub. have tested this which works. FROM /messages/* WHERE $connectionModuleId = 'noded' INTO BrokeredEndpoint("/modules/testjob/inputs/edgehub") . But what I want to do is a "where" against appProperties. I have tried every conceivable "syntax" for this?? Inserts an example message. { "message": { "systemProperties": { "contentType": "application/json", "contentEncoding": "UTF-8", "iothub-message-source": "deviceMessages", "iothub-enqueuedtime": "2017-05-08T18:55:31.8514657Z" }, "appProperties": { "processingPath": "{cold | warm | hot}", "verbose": "{true, false}", "severity": 1-5, "testDevice": "{true | false}" }, "body": "{\"Weather\":{\"Temperature\":50}}" } } Thanks for any help I can get. Can't find any documentation for this?
IoT Edge certificate renewal
Hi all, We are currently implementing an IoT Edge on a lot of Devices which will be at remote locations. We have cleared out that IoT Edge can use up to 3 certificates: Certificate to perform the TLS communication with IoT Hub Device certificates for internal use with modules, leave devices, etc. DPS (Optional is you use certificates) We are currently looking for a solution for point 1 and 2. 1. We understand that this can be solved with keeping IoT Edge up-to-date, but how do perform this is these devices are Remote and we have a lot of them? I know this will not happen that often that this certificate will expire but still it can, so we want to be prepared. 2. Device certificates should also be renewed from time to time. How can you also orchestrated form IoT Hub? We currently where thinking of building a module, but when the device comes online again after some time and in the main time, the certificate has expired, than the module is not able to talk to IoT Hub. Or do you just install a device certificate a installation which will have an expiration date longer then the expected device lifetime? Thanks for the help and insights on this topic. Kr, StevenIOT device event twin change
What are the ways to catch IOT device event twin change in azure? I want to send notification or execute something like function app, when device twin event occur and reported property get change. I am using .net 8 and azure. let me know all possible ways. Thanks, Bhavin Bhesaniya.Detect IOT device twin report property and execute notification
Hello Community, I am seeking for the help to achieve one functionality for my IOT device. I have crated one Azure IOT device under azure IOT hub. Now on the device twin whenever my device report property get change( any property), It should send some event notification to the end user. What is the best way to achieve this? I want to use Azure event grid but the template is not available in message routing you can see below. If i use Event Hub then there is a risk to increase latency. let me know if there is any other way to get this with lowest latency. Thanks, Bhavin Bhesaniya.
CNCF project Akri usage survey and latest update
We are looking to improve Akri and want to learn more about your experience with it! Please help us with a 3 minutes survey if you have tried/evaluated Akri for leaf device discovery. For more information about Akri, visit the Akri GitHub or check our presentation at KubeCon 2024. To learn what’s new for Akri, check our latest release: v0.12.20.
Problem with running Azure spatial-analysis container
Hi, I need to create and run Azure spatial analysis container on my desktop machine. Everything should be running fine according to IoT Hub. But i'm not getting any output and when looking to logs of the spatial-analysis module i saw this error a lot: 2024-03-06T19:46:45.429562642Z <warning> 93 [VIDEO_INGESTER-cognitiveservices_vision_spatialanalysis_1.store.spatialanalysisgraph.videosource] cognitiveservices_vision_spatialanalysis_1 Error: Failed to allocate shared buffer. Skipping frame. 2024-03-06T19:46:45.501593175Z <warning> 93 [VIDEO_INGESTER-cognitiveservices_vision_spatialanalysis_1.store.spatialanalysisgraph.videosource] cognitiveservices_vision_spatialanalysis_1 Failed to get CUDA handle: cudaIpcGetMemHandle failed with error 2 2024-03-06T19:46:45.502484545Z <error> 93 [VIDEO_INGESTER-cognitiveservices_vision_spatialanalysis_1.store.spatialanalysisgraph.videosource] cognitiveservices_vision_spatialanalysis_1 Cannot create cuda shared buffer. Size: 6684672 I have no idea what to do also this is report from nvidia-smi: +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 530.30.02 Driver Version: 527.99 CUDA Version: 12.0 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 NVIDIA GeForce RTX 3060 L... On | 00000000:01:00.0 On | N/A | | N/A 55C P8 16W / 115W| 2609MiB / 6144MiB | 28% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | 0 N/A N/A 34 G /Xwayland N/A | +---------------------------------------------------------------------------------------+ Thanks in advance for your help!
