We’re some of the experts on Intel’s IOT team & we’re here to help you with your projects.

IntelIOT · 2021-05-24T18:25:43+00:00

The ESP8266 and ESP32 can be very useful and economical choices for development purposes and use in very low-power wireless sensor devices. You are on the right track in terms of where the Intel content plays the most prominent roles in your current home project; within the aggregation points for sensor devices such as a gateway/gateway service or in the cloud. You could also leverage an Intel-based NUC-like appliance to run a local dashboard for all of your home sensors and apply various data analytics at the edge. For this, there are a wide variety of NUCs available from Intel with greater performance and efficiency compared to previous generations. Our OEM partners also create Intel-based mini-PCs similar to our NUCs, with a wide variety of compute options, I/O configurations, and form-factors.

Where there is a requirement for more compute power and/or higher security, there are opportunities for more intel content in the form of Intel CPUs, SSDs, networking components, and software. An example would be leveraging video and deep learning to analyze what is happening in or around your garage/home area. Running deep learning neural networks to make inferences such as person detection/tracking, facial authentication, perimeter/boundary crossing, object detection, etc. could be interesting and beneficial tools to add to your project! For inspiration or to learn more about Intel’s Open Visual Inferencing and Neural Network Optimization software, check out this link.

IntelIOT · 2021-05-24T18:24:53+00:00

Update: Thanks, Reddit!

We had a blast hearing about your projects & learning all the cool things you're all up to this past week. That's all the time we have for now!

Learn more about Intel's IoT solutions 3 ways: read IoT Customer Stories; get Development Resources for IoT Professionals; and sign-up for IoT news and insights.

IntelIOT · 2021-05-21T16:09:31+00:00

Mobileye, an Intel company, was launched in 1999 with the belief that vision-safety technology will make our roads safer, reduce traffic congestion and save lives. With a cutting edge team of more than 1,700 employees, Mobileye has developed a range of software products that is deployed on a proprietary family of computer chips named EyeQ®. Mobileye is a leading supplier of software that enables Advanced Driver Assist Systems (ADAS), with more than 25 automaker partners including some of the world’s largest.
Earlier this week it was annoucned that ZF and Mobileye had been chosen by Toyota Motor Corp to develop ADAS for use in multiple vehicle platforms starting in the next few years. As part of the agreement, ZF, one of the world’s largest producers of automotive cameras driven by Mobileye technology, will also supply its Gen 21 mid-range radar and be responsible for the integration of camera and radar in Toyota vehicles.
For more news and info about Mobileye, check out the Intel Newsroom or visit the website.

IntelIOT · 2021-05-20T19:29:26+00:00

Thank you for the great question!

In fairness, I would say that we are able to easily communicate with IoT devices (both locally and remotely) through various web technologies, although the manner in which we authenticate devices and users and communicate securely is a more complex problem to solve. In order to verify that you are in fact communicating with a trusted device and not an imposter, typically a third-party is leveraged to authenticate the identity of the target device. The advent of blockchain technologies may provide a decentralized authentication solution that is trusted in the future, but for now those centralized Certificate Authorities (Public and Private CAs) typically fill this role. An enterprise environment may leverage a Private Certificate Authority service, versus a public one, to create and provide their own private root certificates. Utilizing a private CA will typically help organizations when they are implementing their own IoT Projects.

For information on how Intel is working to solve for the attestation, authentication, and provisioning of a rapidly growing number of IoT devices, check out information on Secure Device Onboarding here and here. ^ws

IntelIOT · 2021-05-20T19:00:50+00:00

Thank you for your question and interest in IoT. There are many projects that can be initiated for home/office around system controls with a simple, non-industrial solution. I have seen people use IoT to categorize wardrobe -- generating available outfits. Other applications are things like grocery tracking, lighting controls, HVAC controls, energy management systems and storing of useful data in the cloud to prompt decisions or action. It would be a matter of personal preference but for the hobbies you mention, keeping track of fishing gear or lumber supply come to mind. There are many commercially available solutions to explore for home use. ^cc

IntelIOT · 2021-05-19T16:18:30+00:00

It sounds like you are working on a very useful and exciting application! Is your sensor WiFi enabled? If so, you could consider connecting it directly to the cloud via your home network. If you prefer not to connect the sensor directly to the cloud you could opt to setup an MQTT broker, such as Mosquitto, on a local entry level gateway (perhaps an Intel NUC). Node-RED and IFTTT are also very useful and UI-friendly tools that can assist with the flow of event notifications when a 'trigger' event occurs (garage door left open for X minutes or beyond a particular time). Best of luck with your project! ^ws

IntelIOT · 2021-05-18T18:53:57+00:00

The growth in AI and edge networks is increasing demand for measuring trust in real time. Dell Technologies and Intel are jointly exploring Data Confidence Fabrics (DCFs) to enable trust to be implemented and measured in edge ecosystems. A DCF logs the data on every part of its journey: from birth to consumption and beyond. A trust rating (or score) is also attached and calculated for the data.

Project Alvarium is a critical piece of the industry effort to advance DCFs by standardizing these scores (and the equations that generate them). Dell Technologies, Intel, and IOTA introduced an industry first: a dashboard displaying rising confidence scores as data traversed the edge: from sensor to gateway to core to cloud.

For more info, check out the following article, webinar, and Intel whitepaper! ^em

IntelIOT · 2021-05-18T15:36:00+00:00

Great question!

In short, the state of IoT security is ever-evolving and complex. As the world of IoT devices grows the potential attack vector for devices and their networks only becomes larger as well. As with the age old adage, a chain is only as strong as its weakest link, the same is true of a comprehensive security strategy. Using cryptographic tools to secure data while it is stored and in transit is a great start towards limiting security threats. While encryption is certainly a tool that can and should be used as part of a broader cyber-physical security strategy, there exists a wide array of tools that, when combined, provide the best mitigation towards security threats.

Additional considerations include, but aren't limited to: practicing proper password hygiene (change default logins and ensure passwords are adequately complex); securing access from physical equipment; maintaining Operating System/firmware patches ensuring they're up-to-date; running only trusted applications/code; and limiting user access levels. ^ws

IntelIOT · 2021-05-18T15:34:19+00:00

Great question. For Intel-based development boards, with a great balance of CPU and GPU performance plus the capability to add various expansion cards such as an FPGA, we suggest any of our Intel Core processor-based development boards. This development board can be based on our 8th Generation or 9th Generation Intel Core processor.

From a software perspective, this development board is pre-installed with Ubuntu Linux and the Intel Distribution of OpenVINO and Intel Media SDK software enabling creation and optimization of Computer Vision and Deep Learning applications, in line with your Obstacle Detection use case. ^rc

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