Sony IMX425 EVB-Kit SLVS-EC High-Speed Monochrome Sensor Evaluation Kit
Optimize high-speed monochrome imaging with the IMX425LLJ evaluation kit supporting SLVS-EC interface.
Product Overview
Evaluation kit for 1.78 MP monochrome sensor with SLVS-EC interface.
The Sony IMX425LLJ EVB-Kit is designed for high-speed evaluation of the 1.78 MP monochrome CMOS image sensor with SLVS-EC interface. The kit provides a Sensor Driver Board, Interface Board, and C/CS lens mount for integration into imaging systems. It is a powerful tool for developers working on high-speed industrial automation, scientific applications, and machine vision, offering flexibility and precision in sensor evaluation.
Product Specifications
-
Chromatics - Monochrome
-
Manufacturer - Sony
-
Optics - n/a
-
Output - SLVS-EC
-
Product Type - Sony Evaluation Boards
-
![Resolution [MP]](data:image/svg+xml;base64,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)
Resolution [MP] - 1.78
Latest Blog Posts
Our latest blogs
Welcome to our blog section, where knowledge meets inspiration. Explore insightful articles, expert tips, and the latest trends in our field.
View All
Inside-Out, Outside-In: Two Ways Vision AI Enters the Factory
Physical AI is moving from research labs onto the factory floor along two distinct paths. One begins with digital twins, simulation, and synthetic data before a robot reaches real hardware....
Read more
Bridging Sensor and SoC: Co-Optimization Strategies for Next-Generation Vision
As imaging moves toward smarter, faster, and more efficient systems, modern vision applications demand more than incremental improvement. They require deeper synergy and better co-optimization between sensors and SoCs. Design...
Read more
Unlocking New Capabilities: How Sony’s Image Sensors Are Advancing Industrial Vision
Industrial vision is evolving to support faster, more accurate, and more adaptable inspection. Advances in image sensors – from high-resolution and HDR imaging to short-wave infrared – are enabling better...
Read more
Embedded Vision Beyond Autonomous robots
Embedded vision is widely recognized in modern mobility applications such as autonomous driving, advanced driver-assistance systems (ADAS), AMRs, AGVs, drones, and humanoid robots. Besides these relatively new application areas, there...
Read more
From Prototype to Production: Building AI at the Edge
An AI model that works on a development board is still a long way from a production-ready edge device. The final system must capture useful data, process it within a...
Read more
Industrial 3D Cameras: Rugged 3D Vision Camera for Automation – FRAMOS D435e with GigE & IP66
3D cameras for industrial applications have to operate in harsh production environments and reliably detect moving objects at speed, e.g. when the camera is mounted on a robot arm. Stable...
Read more
Depth Sensing Cameras: How Machines Understand the Physical World
The past two decades of innovations in embedded systems, robotics, industrial automation and autonomous vehicles all have one thing in common.
Read more
When Robot Safety Becomes a Perception Problem
For decades, robot safety was based on separation. Cages, light curtains, guarded workcells, and emergency stops kept machines and people apart. Physical AI changes that model. Robots increasingly share space...
Read more