Imagimob Unveils Revolutionary Ready Models for Edge AI, Streamlining Smart Device Development

Imagimob, a branch of Infineon Technologies AG, is transforming the landscape of smart device development with its latest innovation, IMAGIMOB Ready Models. These advanced machine learning solutions are not only robust and high-performing but are also uniquely tailored to be production-ready for edge devices. A key feature of these models is their compatibility with existing microcontroller hardware, such as PSoC™ 6, enabling swift deployment without the substantial costs, time, or expertise typically required for custom development.

Sam Al-Attiyah, Head of Customer Success at Imagimob, highlights the rarity and efficiency of these models in the current market. “If you look at the Edge AI space right now, you can probably count on one hand how many companies provide off-the-shelf models for any one solution,” he said. Al-Attiyah further adds, “Our Ready Models are built upon eight years of expertise and thoroughly tested out in the field in different environments, so they are validated in terms of performance. And the fact that we are running them on small edge devices is really unique.”

The robustness of the Ready Models is a result of Imagimob's comprehensive approach to development and testing. The company meticulously creates and assesses different scenarios the models might encounter, ensuring their effectiveness and reliability across various global environments. This process includes rigorous testing in different geographical and ethnic contexts to eliminate any potential bias. The final stage of development involves field testing on devices, documenting realistic model performance in expected hardware setups. The outcome is a machine learning model that performs precisely as intended in customers' products.

Imagimob's initial launch focuses on four audio-based Ready Models: Baby Cry for baby monitors, Siren Detection for pedestrian safety, Coughing Detection, and Snoring Detection, both of which are designed for wearable devices in the medtech and health sectors. The company also has ongoing projects developing additional models in the domains of Audio, Radar, IMU (Inertial Measurement Unit), and Capacitive Sensing.

The introduction of IMAGIMOB Ready Models marks a significant shift in the field of machine learning and AI application in smart devices. Traditionally, the development of custom ML models required significant investment in terms of software engineering, AI expertise, and resources. This process encompassed everything from data collection and validation to training and deploying models on devices, along with extensive testing in varied environments. 

Anders Hardebring, CEO at Imagimob, emphasizes the ease and efficiency these models bring to companies. “This is a much easier way for companies to begin their ML journeys – they don’t have to make such a big investment to start using it on their edge devices,” he explains. Hardebring points out the time-saving aspect of Ready Models, noting that “Depending on the skillset and expertise in a company, developing a custom model for production typically takes six months to a year. With our Ready Models, they can have new Edge AI features up and running essentially overnight.”

The launch of IMAGIMOB Ready Models is a milestone in the evolution of smart device technology. It not only simplifies the integration of machine learning into edge devices but also accelerates the process of bringing new AI features to the market. By reducing the barriers to entry for companies looking to upgrade their products with smart AI features, Imagimob is fostering a more inclusive and innovative technological landscape.

IMAGIMOB Ready Models are currently available for purchase, providing an unprecedented opportunity for companies to rapidly deploy advanced machine learning capabilities in their products.