Intrinsyc will display new line of power-efficient IoT computing offerings at Embedded World 2017

Intrinsyc Technologies Corp. announced its plans to showcase a lineup of embedded computing solutions during Embedded World 2017; apart from demonstrate additional development kits and computing products, as well as client products powered by Intrinsyc’s computing solutions.

Product demonstrations include Open-Q 410 System-on-Module (SOM), a compact, production-ready module based upon on a Quad-Core ARM Cortex A53, 64-bit, 1.2GHz processor. The SOM’s small form-factor, advanced technology, and extensive range of supported peripherals, provide the perfect platform for creating low cost, high performance embedded and IoT devices.

IoT device makers can implement low power audio playback and recording solutions with multi-codec support, noise cancellation, voice activation and surround sound; record, stream and playback high quality multi-media video with H.264 encode and decode along with multi-channel audio; and capture and process high resolution images up to 13MP, with support for hardware based noise reduction and JPEG encoding. The SOM also supports 802.11n (2.4GHz) Wi-Fi and Bluetooth 4.1 LE.

It will also demonstrate Open-Q 410 Wearable Camera Reference Design that enables companies to develop a body-worn camera product for law enforcement, fire safety, emergency medical response, security, and military applications. Utilizing the Reference Design accelerates time to market, reduces risks and costs, and enables compelling product differentiation.

The reference design provides for live audio and video recording with playback streaming capabilities via WiFi or LTE cellular modem onto a display terminal, computer or cellphone for surveillance, proof of action, and other uses. The body worn video camera automatically connects, through wireless LAN, to a remote SFTP server, to upload all video, audio, and associated log files.

Intrinsyc will also display Open-Q 650 IP Camera Reference Design, a starting point to fast-track IP camera development or develop processing intensive advanced edge-of-the-Internet based video analytics software such as motion detection, face detection, face recognition and human tracking that can be used in sophisticated access control scenarios, retail environments and industrial surroundings.

IP Camera device makers can immediately begin using the Reference Design along with Intrinsyc’s comprehensive software, technical support, and design assistance services, to build their own camera based IoT products, or they can engage with Intrinsyc for turnkey development; from concept through production.

The company will also unveil Open-Q 820 micro System-on-Module (µSOM) – the world’s smallest production-ready computing module, based on a 64-bit Quad-Core, 2.2GHz processor, and integrated with advanced GPU and DSP. The µSOM’s small size, 50mm x 25mm, advanced technology, and extensive range of peripherals, provide the perfect platform for creating high-performance embedded and IoT devices.

The SOM has the following high-speed connectivity; Wi-Fi 802.11b/g/n/ac 2.4/5.0GHz 2×2 MU-MIMO and Bluetooth 4.1. The Open-Q 820 µSOM is designed to enable the rapid commercial production of a variety of IoT products, including robotics, cameras, set-top-boxes, medical devices, augmented and immersive virtual reality, digital signage, and advanced 4K HEVC video conferencing.

Intrinsyc also announced receipt of orders, this week, from existing clients, that are in aggregate valued at US$1,189,000. Orders for the Company’s Open-Q embedded computing modules and related hardware components are valued at US$992,000 and expected to be delivered in the second quarter of 2017.

The company also received an engineering services order from an existing client valued at $197,000 for expected delivery in the first and second quarter.

“We are delighted to continue our momentum with these new orders,” stated George Reznik, chief financial officer, Intrinsyc. “An increase in hardware orders is an important measure of our progress in our strategic shift to create a scalable business model through repeat hardware revenue.”


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