Imagimob released its complete machine learning (ML) IMAGIMOB Ready Models requiring zero or limited engineering expertise for near plug-and-play with current microcontrollers like PSoC 6. “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,” says Anders Hardebring, CEO at Imagimob.

A purchase from earlier this year seeing Imagimob being obtained from Infineon has now started to see fruition. Infineon’s ModusToolbox Software is being integrated with Imagimob’s ML development system. The solution is a reliable cost-efficient way to develop AI-based machine learning models for in-house IP design.

Stockholm and Irvine, Calif., – Imagimob and Syntiant Corp are collaborating to integrate Imagimob’s tinyML platform with Syntiant’s ultra-low-power NDP120 Neural Decision Processor, enabling the development of production-ready deep learning tinyML applications and ML models using the NDP120 for sound event detection, keyword spotting, fall detection, anomaly detection, gesture detection and more.

Imagimob announced the availability of the Imagimob tinyML platform integrated with Synaptics’ DBM10L AI chip. 

Imagimob announced tinyML for two new applications based on mmWave radar sensors from Texas Instruments for fall detection and gesture recognition.

Imagimob announced that its new release of the tinyML platform, Imagimob AI, supports end-to-end development of deep learning anomaly detection.

Imagimob announced that its tinyML platform Imagimob AI supports quantization of Long Short-Term Memory (LSTM) layers and a number of other Tensorflow layers.