
Low-power sensAI facilitates AI in edge devices
Lattice sensAI is intended to accelerate the integration of machine learning into IoT applications. There is a variety of solutions on offer that prioritise ultra-low power consumption (under 1 mW–1 W), small package size (5.5 mm2 –100 mm2), interface flexibility (MIPI CSI-2, LVDS, GigE, etc.), and high-volume pricing (~$1-$10 USD)
The sensAI stack includes:
Modular Hardware Platforms – ECP5TM device-based Video Interface Platform (VIP), including the Embedded Vision Development Kit, and iCE40 UltraPlus device-based Mobile Development Platform (MDP).
IP Cores – Convolutional Neural Network (CNN) accelerator and Binarized Neural Network (BNN) accelerator.
Software Tools – Neural network compiler tool for Caffe/TensorFlow to FPGA, Lattice Radiant design software, Lattice Diamond design software.
Reference Designs – Face detection, key phrase detection, object counting, face tracking, and speed sign detection.
Design Services – Ecosystem of design service partners delivers custom solutions for broad market applications, including smart home, smart city, and smart factory.
More information
Related news
New Qualcomm IoT processors show no sign of dedicated neural network hardware
Infineon: Deep learning neural networks demand sophisticated power
IAR Embedded Workbench now supports Arm’s CMSIS-NN neural network library
Ceva goes non-DSP with neural processor
