Categories: IoTLATEST NEWS

ADI and Consumer Physics IoT Platform Enables Material Analysis of Food, Drugs and More for Quality, Content and Composition

Analog Devices, Inc. (ADI) and Consumer Physics, Inc. (CP) today announced a collaboration to develop a sensor-to-cloud personal and industrial IoT platform that analyzes liquids and solids, including food, plants, drugs, chemicals, the human body, and a variety of other materials. The two companies plan to embed CP’s SCiO technology for material sensing into smartphones, wearables, industrial, and medical applications. The co-developed sensor-to-cloud platform will enable users to detect substances quickly and reliably, control quality, and measure a wide range of characteristics such as calories, fat, sugars, and proteins; sugar content or brix, in fruits and vegetables; alcohol content in beverages; and chemical composition of fuel and oil.

“ADI and CP share a vision to enable our customers to interpret the world around us,” said Martin Cotter, vice president, Internet of Things, Analog Devices. “Together we plan to make secure, reliable and robust material analysis power-efficient and affordable for use virtually everywhere in order to make the world safer and healthier.”

“We are excited to work together with ADI to embed the SCiO technology for material sensing in more applications and industries,” said Dror Sharon, chief executive officer and co-founder, Consumer Physics. “SCiO’s technology enabled the world’s first handheld molecular sensor and now there is tremendous potential to interpret the world around us not only through smart phone-embedded sensing, but also through the automotive, energy, industrial and medical applications ADI serves.”

SCiO’s underlying science is called Near-Infra-Red (NIR) Spectroscopy and has been used in laboratories around the world for decades in diverse industries such as food, pharmaceuticals, agriculture, healthcare, oil and gas, plastics, cosmetics, geology, mineralogy, and many more. Current devices are large and expensive, making them unfit for current and future IoT applications.

The physical basis underlying NIR Spectroscopy’s material analysis is based on the principle that each type of molecule vibrates in a unique way, and these vibrations interact with light to create a unique optical signature. The signature is acquired using the optical sensor and signal conditioning electronics. Advanced algorithms utilize an updatable database to analyze the spectrum and deliver information about the analyzed sample back to the user in real time.

height=350

Developer kits will be available for building custom applications. SCiO Eco-System Partners can develop smartphone and wearables experiences now using the SCiO Developer Kit, available immediately.

Liat

Recent Posts

NVIDIA and AWS Expand Full-Stack Partnership, Providing the Secure, High-Performance Compute Platform Vital for Future Innovation

AWS integrates NVIDIA NVLink Fusion into its custom silicon, including the next-generation Tranium4 chip, Graviton…

3 days ago

Molex Names Top 10 Connectivity and Electronics Design Predictions for 2026, Fueled by Far-Reaching Impact of Artificial Intelligences Across Major Industries

Intensifying AI demands continue to proliferate across aerospace and defense, automotive, consumer electronics, data center,…

3 days ago

Tria Technologies to bring Qualcomm DragonwingTM IQ-6 Series to market with two new compute modules

 TRIA SM2S-IQ615 and TRIA OSM-LF-IQ615 modules enable next-generation edge AI systems across a wide range…

3 days ago

At NeurIPS, NVIDIA Advances Open Model Development for Digital and Physical AI

NVIDIA releases new AI tools for speech, safety and autonomous driving — including NVIDIA DRIVE…

3 days ago

OMRON eases PCB-relay assembly and replacement with P6K surface-mountable sockets

 P6K sockets for G6K through-hole relays ensure reliability, flexibility, and repairability  OMRON Electronic Components Europe…

3 days ago

GEOX.AI and Mitsui Sumitomo Insurance Launch AI-Powered Initiative to Assess Building Risk Across Japan

GEOX.AI, a global leader in AI-driven property intelligence, announced today a strategic partnership with Mitsui…

3 days ago