SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control using audio interactions with its built-in microphone and speaker, as well as LLM models. It can be used as an AI-enabled robot controller, a smart home hub, a voice assistant, or an interactive learning platform. In this review, after an unboxing and going through the installation of the Fusion HAT+ on a Raspberry Pi 5 2GB, I’ll mainly focus on the voice interaction part using text-to-speech (TTS), speech-to-text (STT), and local and cloud-based LLMs and VLMs, and also quickly test servo control to wave a flag using voice commands. SunFounder Fusion HAT+ unboxing I received the sample in the retail package reading “SunFounder Fusion HAT+ for Raspberry Pi” and detailing the key features, namely rechargeable battery, 12x PWM, onboard speaker and microphone, 4x 12-bit ADC, safe shutdown, 4x DC [...]

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SunFounder has sent me a review sample of the Fusion HAT+ Raspberry Pi expansion board designed for motor and servo control using audio interactions with its built-in microphone and speaker, as well as LLM models. It can be used as an AI-enabled robot controller, a smart home hub, a voice assistant, or an interactive learning platform. In this review, after an unboxing and going through the installation of the Fusion HAT+ on a Raspberry Pi 5 2GB, I’ll mainly focus on the voice interaction part using text-to-speech (TTS), speech-to-text (STT), and local and cloud-based LLMs and VLMs, and also quickly test servo control to wave a flag using voice commands. SunFounder Fusion HAT+ unboxing I received the sample in the retail package reading “SunFounder Fusion HAT+ for Raspberry Pi” and detailing the key features, namely rechargeable battery, 12x PWM, onboard speaker and microphone, 4x 12-bit ADC, safe shutdown, 4x DC [...]

The post Fusion HAT+ Review – Adding AI voice and servo/motor control to Raspberry Pi for robotics, Smart Home, or education appeared first on CNX Software - Embedded Systems News.

M5Stack has launched the “AI-88502 LLM Accelerator M.2 Kit 8GB Version” based on its LLM-8850 M.2 card with a 24 TOPS Axera AX8850 SoC, and offering an alternative to the Raspberry Pi AI HAT+ 2, supporting both LLM and AI vision workloads. The kit is comprised of the M.2 card and a Raspberry Pi-HAT 8850 board with USB PD power input for the card and Raspberry Pi 5, a 16-pin PCIe connector and 40-pin GPIO header for connection to the SBC, as well as accessories. M5Stack AI-8850 LLM accelerator M.2 kit specifications: M5Stack LLM‑8850 M.2 card SoC – Axera AX8850 CPU – Octa-core Cortex‑A55 processor at 1.7 GHz NPU – 24 TOPS @ INT8 VPU Video Encoder – 8K @ 30 fps H.264/H.265 encoding, supports scaling / cropping Video Decoder – 8K @ 60 fps H.264/H.265 decoding, supports 16 channels 1080p parallel decoding, supports scaling / cropping Memory (two options) 8GB 64‑bit LPDDR4x @ 4266 Mbps 4GB 64-bit LPDDR4x, 4266 Mbps (not [...]

The post M5Stack AI-8850 LLM Accelerator M.2 Kit offers an alternative to Raspberry Pi AI HAT+ 2 appeared first on CNX Software - Embedded Systems News.

M5Stack has launched the “AI-88502 LLM Accelerator M.2 Kit 8GB Version” based on its LLM-8850 M.2 card with a 24 TOPS Axera AX8850 SoC, and offering an alternative to the Raspberry Pi AI HAT+ 2, supporting both LLM and AI vision workloads. The kit is comprised of the M.2 card and a Raspberry Pi-HAT 8850 board with USB PD power input for the card and Raspberry Pi 5, a 16-pin PCIe connector and 40-pin GPIO header for connection to the SBC, as well as accessories. M5Stack AI-8850 LLM accelerator M.2 kit specifications: M5Stack LLM‑8850 M.2 card SoC – Axera AX8850 CPU – Octa-core Cortex‑A55 processor at 1.7 GHz NPU – 24 TOPS @ INT8 VPU Video Encoder – 8K @ 30 fps H.264/H.265 encoding, supports scaling / cropping Video Decoder – 8K @ 60 fps H.264/H.265 decoding, supports 16 channels 1080p parallel decoding, supports scaling / cropping Memory (two options) 8GB 64‑bit LPDDR4x @ 4266 Mbps 4GB 64-bit LPDDR4x, 4266 Mbps (not [...]

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