Lattice Semiconductor

Smart Sensor Demo: On-Device Object Detection with Lattice CertusPro™-NX

Algorithms & Models, Lattice Semiconductor, Processors, Summit 2026, Videos /

Lattice Semiconductor demonstrates how the CertusPro-NX FPGA bridges an image sensor to a Raspberry Pi, performing on-device pre-processing and object detection before passing data to the host CPU. Sensor frames at 30 fps are fed into the FPGA, where an object detection model — trained on eight automotive object classes — runs locally and outputs […]

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Free Webinar on Designing Computer Vision for the Far Edge

Algorithms & Models, Lattice Semiconductor, News, Processors, Webinar /

On September 24, 2026 at 9 am PT (noon ET), Nicolas Widynski, AI Fellow at Lattice Semiconductor, will present the free hour webinar “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: This session explores practical

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Lattice FPGA Embedded Vision: Real-Time ISP Pipeline with Integrated Tuning Tool

Lattice Semiconductor, Processors, Summit 2026, Tools, Videos /

Lattice Semiconductor demonstrates a complete end-to-end vision pipeline running entirely on an FPGA, from CSI camera input to screen output. Raw sensor data is processed by an on-chip ISP that converts it to a clean YUV 422 video stream in real time. The platform includes a dedicated ISP builder and tuning tool, allowing designers to

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Video over Ethernet on Lattice CrossLink™-NX FPGA: Microsecond Latency Demo

Lattice Semiconductor, Processors, Summit 2026, Videos /

Tecphos demonstrates real-time video over Ethernet using a Lattice CrossLink-NX 40 FPGA at the Embedded Vision Summit. The FPGA captures raw image data from a MIPI image sensor, processes and scales it, and simultaneously delivers an uncompressed stream to the host while compressing it to JPEG on-chip. Compressed data is formatted into Ethernet packets and

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Upcoming Webinar on Real-Time Perception and the Role of FPGAs

Airy3D, Lattice Semiconductor, News, Processors, Robotics /

On July 25, 2026, at 1:00 pm PDT (4:00 pm EDT) Lattice Semiconductor will deliver a webinar “The Future of Robotics: Real-Time Perception, Edge AI, & the Role of FPGAs” From the event page: As robotics systems evolve from traditional automation to intelligent, perception-driven platforms, new architectural considerations are emerging around real-time sensing, data processing,

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“Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” a Presentation from Lattice Semiconductor

Algorithms & Models, Edge AI and Vision Alliance, Lattice Semiconductor, Memory, Processors, Summit 2026, Videos /

Nicolas Widynski, AI Fellow at Lattice Semiconductor presents “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints” at the May 2026 Embedded Vision Summit. This session explores practical strategies for deploying computer vision AI on far-edge devices under strict resource constraints. While highlighting FPGA-specific strengths, such as… “Efficient Computer Vision at the

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Lattice Collaborates with TI to Accelerate Edge AI for Robotics and Industrial Applications

Lattice Semiconductor, News, Sensors and Cameras, Texas Instruments /

HILLSBORO, Ore. – Apr. 20, 2026 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced that the company is collaborating with Texas Instruments (TI) to simplify sensor integration and to scale real-time edge AI systems. The combination of TI’s sensing technologies and the Lattice Holoscan Sensor Bridge solution, based on Lattice low power FPGA technology, will

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Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics

D3 Embedded, Lattice Semiconductor, News, NVIDIA, Processors, Robotics, Sensors and Cameras, Software, Texas Instruments, Tools /

TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines.   Texas Instruments, D3 Embedded, Lattice Semiconductor and NVIDIA are outlining a concrete radar-camera fusion stack for robotics rather than just talking

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Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge

Lattice Semiconductor, News, NVIDIA, Processors, Robotics /

HILLSBORO, Ore. – Mar. 16, 2026 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. Announced at the NVIDIA GTC 2026, Lattice will engage with NVIDIA and other Halos ecosystem members to

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Airy3D and Lattice to Showcase Compact, Integrated Humanoid and Robotic 3D Vision Demo at Embedded World 2026

Airy3D, Lattice Semiconductor, News, Processors, Sensors and Cameras /

Montreal, Canada — March 4, 2026 — Airy3D today announced a joint demonstration with Lattice Semiconductor highlighting a compact and compute-efficient 3D vision solution for humanoids and advanced robotics, which will be on display at Embedded World 2026. The demo combines Airy3D’s DepthIQ™ technology with a compact, low-power Lattice CrossLink™-NX FPGA to enable high-quality depth

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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