The network edge computing revolution is poised to take off, but only developers with expertise in the AI ​​system will be able to become familiar. As users seek higher levels of intelligence, the need for low-power reasoning near IoT (Internet of Things) data sources will increase. How do these sensor-ends, especially ultra-low-power sensors, implement artificial intelligence?
Recently, Lattice Semiconductor has introduced ultra-low-power Lattice SensAI. Mr. Chen Yingren, senior business development manager of the company's Asia-Pacific region, said that its low-power FPGAs will compete with MCUs (microcontrollers) and focus on low-power, low-cost, small-size embedded AI markets that require less computational accuracy.
Which scenes need the sensor "smart"?
If control is rule driven, AI is data driven. As we all know, AI mainly does training and reasoning. There is more training in the cloud, and Lattice’s sensor-side AI only makes inferences. “These milliwatt power FPGAs will create opportunities for machine learning reasoning for rapid deployment in mass market IoT applications.†Just like sushi Master's finger movements, many commands do not need to be transmitted to the brain, or are experienced habits. Similarly, some inferences do not need to be transmitted to the cloud or use complex computing chips. For example, if a person is stationary indoors, the intelligent lighting system may be automatically turned off without human detection. If there is a low-power human face recognition, this will not happen. Things. Smart door locks usually use infrared sensing. A person approaches a small password door, but a dog or an animal approaches. It also opens. Face detection can sense that a person is approaching and the password door will open. Supermarkets can use human faces to stream statistics or identify gender to push ads. Furthermore, smart speakers are usually connected to the Internet. Sometimes for privacy reasons, it is also hoped that some music will exist in the speakers and you can control and listen to music online. Sometimes the approximate sound cannot be heard. For example, it knows "Hello" and sometimes "Li Hao." It also responds. It is necessary to teach it some wisdom. The sound of the motor in the factory is abnormal, and it is too late to upload it to the cloud. The sensor end can immediately make an emergency response.
What is Lattice sensAI?
Lattice sensAI is a complete technology set incorporating modular hardware kits, neural network IP cores, software tools, reference designs, and custom design services to promote mass market reasoning for mass market IoT applications. As shown below, the core of sensAI is mainly the penultimate "IP core" and the third line of "software tools."
Lattice sensAI offers optimized solutions with ultra-low power consumption (less than 1 mW~1 W), small package size (5.5~100 mm2), flexible interface (such as MIPI® CSI-2, LVDS, GigE, etc.) and The advantages of low volume prices (approximately $1-10) can accelerate the implementation of network-edge computing closer to the data source.
For the first time, Lattice SensAI has fully addressed the need for flexible, low-cost, ultra-low-power AI semiconductor solutions that can be quickly deployed to various emerging market and mass-market IoT applications. As shown in the figure below, the main face of competition is the MCU. Compared with MCUs, Lattice sensAI has the advantages of flexible support for all types of legacy interfaces and extremely low power consumption of only milliwatts.
Suitable for solving network edge computation problems, Lattice sensAI includes: • Modular hardware platform - Video Interface Platform (VIP) based on ECP5TM device, including embedded vision development kit and mobile development platform based on iCE40 UltraPlusTM device (MDP IP cores - Convolutional Neural Network (CNN) Accelerators and Binary Neural Network (BNN) Accelerators; • Software Tools - Neural Network Compiler Tools from Caffe/TensorFlow to FPGAs, Lattice RadiantTM Design Software, and Lattice Diamond Design Software; • Reference Designs - Face Detection, Keyword Detection, Object Counting, Face Tracking and Speed ​​Signage Detection; • Design Services - Design Service Partner Ecosystems provide customized solutions for mass market applications, including Smart homes, smart cities, and smart factories.
summary
Lattice sensAI offers network edge optimization solutions that are flexible, ultra low power, small size and low price in bulk. Lattice's ultra-low-power FPGAs are supported by a wide range of hardware platforms, soft IPs, design tools, reference designs, and third-party experts, making it a reliable and fast way for sensor-side AIs.
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