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.
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 implemented the tinyML fall detection application running on Syntiant’s ultra-low-power NDP120 Neural Decision Processor™ and can be seen at Syntiant’s private suite at the Venetian Hotel during CES 2023 in Las Vegas.
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.
Joint Solution Demoed at tinyML EMEA Innovation Forum 2022
Stockholm and Irvine, Calif., October 10, 2022 – Imagimob, a leading provider of tinyML platforms, and Syntiant Corp, an end-to-end AI chip company for always-on edge AI applications, today announced a collaboration to integrate Imagimob’s tinyML platform with Syntiant’s ultra-low-power NDP120 Neural Decision Processo
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.
The new release of the Imagimob tinyML platform includes a forever free plan that will enable anyone to start developing tinyML applications. It also includes improvements on the AutoML function for deep learning anomaly detection using autoencoders. The Imagimob tinyML platform was recognized as one of the leading tinyML platforms in a report by ABI Research in June 2022.
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.