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Categories: deeplearning

Edge AI company Imagimob introduces Ready Models—the fastest way to take machine learning to production

Edge AI company Imagimob introduces Ready Models—the fastest way to take machine learning to production

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 launches free forever plan for its tinyML platform

Imagimob launches free forever plan for its tinyML platform

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.

Imagimob Announces tinyML for Sound Event Detection Applications on Synaptics AI Chip

Imagimob Announces tinyML for Sound Event Detection Applications on Synaptics AI Chip

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 Fall Detection and Gesture Recognition Applications using Texas Instruments mmWave Radar Sensors

Imagimob Announces tinyML for Fall Detection and Gesture Recognition Applications using Texas Instruments mmWave Radar Sensors

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.

Quantization of LSTM layers - a Technical White Paper

Quantization of LSTM layers - a Technical White Paper

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 tinyML platform supports quantization of LSTM and other TensorFlow layers

Imagimob tinyML platform supports quantization of LSTM and other TensorFlow layers

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.

The Future is Touchless: Radical Gesture Control Powered by Radar and tinyML

The Future is Touchless: Radical Gesture Control Powered by Radar and tinyML

As the pandemic has swept over the world, gesture control and touchless user interfaces have become a hot topic. Here, we’ll explore the different types of gesture control technologies and explain why we think radar technology powered by Edge AI stands out above the rest for certain use cases.

We used a modern tractor from German SDF-Group in the tinyML project

Using tinyML in Agritech

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.

An edge AI/tinyML company

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

Imagimob

Medborgarplatsen 3
118 26 Stockholm
Sverige