Summary of LG INTRODUCES LG8111 AI CHIP AND DEVELOPMENT KIT FOR ON-DEVICE AI
LG Electronics introduced the LG8111 AI chip and Eris Reference Board for edge on-device AI, featuring an LG Neural Engine, proprietary AI accelerator, and support for TensorFlow, TensorFlow Lite, and Caffe. The SoC includes a quad-core ARM Cortex-A53 CPU, vision accelerator, dual 5MP ISP camera engine, full HD H.264 video encoder, and an always-on audio engine with voice activity detection. It supports low-power, low-latency self-learning on-device AI and AWS IoT Greengrass integration for simplified deployment.
Parts used in the LG8111 AI Chip Project:
- LG8111 AI chip (SoC)
- LG Neural Engine
- LG proprietary AI Accelerator
- Inference/Training engine
- Support for TensorFlow
- Support for TensorFlow Lite
- Support for Caffe
- Quad-Core ARM Cortex-A53 CPU (1.0 GHz)
- 32KB L1 cache and 1MB L2 cache
- NEON, FPU, Cryptography extension
- Vision Accelerator (dedicated vision DSP)
- Camera Engine (5M + 5M dual ISP pipeline)
- Parallel camera interface
- Noise reduction module
- Lens distortion correction module
- HDR pre-processing
- Video Encoder (full HD H.264 encoding)
- Audio Engine with always-on voice recognition
- Voice Activity Detector with dedicated Audio DSP
- Eris Reference Board (development kit)
- AWS IoT Greengrass integration
more: LG Electronics has introduced a highly-integrated LG8111 AI Chip together with a corresponding Eris Reference Board for edge AI Processing.
The LG8111 AI chip for on-device AI inference is equipped with an LG-specific AI processor that can copy the neural network of the human brain and process the deep learning algorithm efficiently. The SoC supports hardware processing in AI capabilities like video, voice, and control intelligence.
Since the chip has a low power low latency feature that enhances its self learning capacity, products built with the chip can implement On-Device AI learned and inferred by themselves. The chip also supports AWS IoT Greengrass and the integration of the Eris Reference board with AWS IoT Greengrass allows for easier deployment of a variety of applications and solutions.
Features of the LG8111 AI SoC:
- LG Neural Engine
- LG proprietary AI Accelerator
- Inference/Training engine
- Support for TensorFlow, TensorFlow Lite, Caffe
- Quad-Core CPU
- ARM Cortex A53 cores clocked at a frequency of 1.0 GHz
- 32KB L1 cache and a 1MB L2 cache
- NEON, FPU, and Cryptography extension.
- Vision Accelerator
- Dedicated vision for DSP which enables feature extraction and image warping.
- Camera Engine:
- 5M + 5M dual ISP pipeline
- Parallel interface
- Noise reduction
- Lens distortion correction
- High Dynamic Range (HDR) pre-processing
- Video Encoder:
- Support for full HD video H.264 encoding
- Audio Engine:
- “Always-on” voice recognition
- Voice Activity Detector with dedicated Audio DSP
Read more: LG INTRODUCES LG8111 AI CHIP AND DEVELOPMENT KIT FOR ON-DEVICE AI
- What is the LG8111 AI chip used for?
The LG8111 AI chip is used for on-device AI inference and edge AI processing, enabling efficient deep learning algorithm processing for video, voice, and control intelligence. - Does the LG8111 support standard AI frameworks?
Yes, the LG8111 supports TensorFlow, TensorFlow Lite, and Caffe. - What CPU does the LG8111 include?
The LG8111 includes a quad-core ARM Cortex-A53 CPU clocked at 1.0 GHz with 32KB L1 cache and 1MB L2 cache. - How does the LG8111 handle vision tasks?
It includes a dedicated vision accelerator DSP for feature extraction and image warping, plus a camera engine with a 5M + 5M dual ISP pipeline and HDR pre-processing. - Can the LG8111 encode video?
Yes, it supports full HD H.264 video encoding. - Does the LG8111 support always-on voice features?
Yes, it has an audio engine for always-on voice recognition and a Voice Activity Detector with a dedicated Audio DSP. - What makes the LG8111 suitable for on-device AI?
Its low power, low latency design, LG Neural Engine, and proprietary AI accelerator enhance self-learning and efficient on-device inference. - Is there a development kit for the LG8111?
Yes, LG provides the Eris Reference Board as a development kit for the LG8111. - Does the Eris Reference Board integrate with cloud IoT services?
Yes, the Eris Reference Board integrates with AWS IoT Greengrass for easier deployment of applications and solutions.
