Now IMAGIMOB Studio users can visualize their machine learning modeling workflows and leverage advanced capabilities to develop edge device models better and faster. Imagimob have launched the all-new Graph UX interface, designed to bring greater ease and clarity to the ML modeling process while offering advanced new capabilities such as built-in data collection and real-time model evaluation.
In line with their mission to offer the best and fastest ways to take smart devices to market, Imagimob is now launching IMAGIMOB Ready Models, complete machine learning solutions guaranteed to be robust, high-performing, and production-ready for edge devices. Ready Models can be quickly deployed onto existing MCU hardware without the cost, time, or expertise required for custom development.
München, Tyskland och Stockholm, Sverige – 16 maj 2023 – Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) meddelade idag att man har förvärvat det svenska startup-bolaget Imagimob, ett ledande bolag inom artificiell intelligens (AI) för inbyggda system. Med Imagimob förstärker Infineon kraftigt sin position och sitt erbjudande inom AI.
Imagimob utvecklar och säljer Imagimob AI, en heltäckand
Imagimob has developed a tinyML model for gunshot detection that has been optimised to run on Synaptics’ DBM10L AI chip. Detecting gunshots can be of great interest in many kinds of safety and security systems for the home and in public areas.
Imagimob today announced that the Imagimob tinyML platform supports Arduino Nicla Voice, and that it adds fall detection to the Nicla Voice tinyML application portfolio.
Imagimob has become an Official Arduino System Integrator to support the easy deployment of smart edge solutions with tinyML models running on Arduino intelligent sensing boards. The Arduino community consists of 30+ million developers and thousands of companies.
Imagimob, a leading provider of tinyML platforms, and FotaHub, Inc., a leading provider of firmware and AI model over-the-air update technology, announced a partnership where Imagimob’s tinyML platform will be seamlessly integrated with FotaHub’s cloud-based firmware over-the-air update and provisioning service.
Imagimob announces the availability of the Imagimob tinyML platform integrated with Synaptics’ DBM10L AI chip. Synaptics’ existing ML algorithms for Sound Event Detection (SED) are integrated in the Imagimob platform which means that customers now have a powerful, end-to-end platform that will enable them to develop and deploy production-ready SED applications on the Synaptics AI chip.
Imagimob announces tinyML for two new applications based on mmWave radar sensors from Texas Instruments (TI). The fall detection algorithm uses a low-cost, low-power radar sensor placed on the wall in a room or an appliance. The gesture recognition application recognizes 6 different predefined gestures that can be used for human machine interface in automotive and industrial settings.
Renesas have selected Imagimob as “Partner of the Month” within the Renesas Ready Partner Program. Renesas and Imagimob have worked together for over nine months integrating the Imagimob AI development platform for machine learning on edge devices with Renesas’ RA family of MCUs. As part of the collaboration, Imagimob AI now includes a starter project for the Renesas EK-RA2L1 board.
Imagimob today announced that its new release of the tinyML platform Imagimob AI supports end-to-end development of deep learning anomaly detection. A big strength with deep learning anomaly detection is that it delivers high performance as well as eliminates the need for feature engineering, thus saving costs and reducing time-to-market.
Getting started with tinyML is now easier thanks to a tight integration between Imagimob AI and IAR Embedded Workbench. IAR Systems is the world's leading supplier of software and services for the development of embedded systems. IAR Systems has more than 46 000 customers who are located across the entire globe and in a number of different industries.
This white paper explains what LSTM layers are, why they are important and what the technical solution in Imagimob AI looks like. In Imagimob AI, quantization of a pretrained model is done with the click of a button in a user-friendly graphical user interface, which generates C code without any floating-point operations, ready for deployment.
Imagimob today announced that its tinyML platform Imagimob AI supports quantization of so-called Long Short-Term Memory (LSTM) layers and a number of other TensorFlow layers. LSTM layers are well-suited to classify, process and make predictions based on time series data, and are therefore of great value when building tinyML applications.
Imagimob has been part of an EU project, together with 55 companies and organisations throughout Europe, to investigate how Edge AI, aka tinyML and cloud services can support companies within connected agriculture; regarding both crop management and livestock.
Imagimob is a fast-growing startup driving innovation at the forefront of Edge AI and tiny machine learning (tinyML), enabling the intelligent products of the future. Based in Stockholm, Sweden, the company has been serving global customers within the automotive, manufacturing, healthcare, and lifestyle industries since 2013. In 2020, Imagimob launched their SaaS Imagimob AI for swift and easy end-to-end development of Edge AI applications for devices with constrained resources, and the newly launched off-the-shelf applications/models can be implemented quickly and easily. Imagimob AI guides and empowers users throughout the entire development journey, resulting in game-changing productivity and faster time-to-market. Tirelessly dedicated to staying on top of the latest research, Imagimob is a market leader within AI and embedded technologies.
In May 2023, Imagimob was acquired by Infineon Technologies AG.
Learn more and sign up to use Imagimob AI at imagimob.com
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