At Silicon Signals, we offer Camera Design Engineering Services encompassing the full product development lifecycle—conception and architecture through production-ready deployment. Our group of experts has extensive domain experience in embedded imaging and has effectively implemented camera sensors on top of SoCs such as Qualcomm, NXP, TI, Ambarella, Rockchip, MediaTek, NVIDIA, and STM.
We offer end-to-end camera design solutions, such as hardware design, camera sensor integration, developing custom drivers, developing camera HAL, ISP tuning, and embedded vision application support. Our expertise is across both the Android and Linux platforms, which support smooth performance and flexibility across use cases.
High-performance, real-time vision solutions are made possible by our comprehensive camera design engineering services. Our camera systems are designed to capture images quickly, provide sophisticated analytics, and integrate seamlessly with AI and machine learning to process images instantly.
We contribute extensive technical expertise across the whole vision stack, from intelligent features like image stitching to multi-camera synchronization for ADAS and 360° imaging. Our solutions, whether RGB or monochrome, are designed to satisfy a variety of industry demands and offer complete support from quick prototyping to ultimate deployment.
Compact, high-speed hardware solutions designed for demanding embedded vision applications.
For better low-light performance, color accuracy, and image quality, fine-tuning is necessary.
Seamless integration to create cutting-edge, effective vision systems with the V4L2, libcamera, & GStreamer frameworks.
Custom-developed algorithms for advanced vision analytics, object detection, ADAS, and image stitching.
Certified to meet ONVIF, STQC, NDAA, CE, FCC, and RoHS standards for global compliance and secure deployments.
Edge-optimized AI/ML models for intelligent vision processing, object detection, and real-time image classification.
End-to-End Development
From design to mass production, Silicon Signals provides comprehensive camera solutions that maximize performance all along the way.
Open Source Contributions
Our team improves software quality by contributing to the Google AOSP multimedia project and the Linux kernel.
Kernel Driver Integration
For seamless video capture on Linux and other platforms, we create effective V4L2 and libcamera drivers.
Optimized MIPI CSI-2 Interfaces
For better imaging, our small designs enable high-bandwidth, low-latency data transfer.
GStreamer Pipelines & ADAS Algorithms
We provide intelligent automotive and industrial vision algorithms as well as real-time video streaming.
We deliver custom camera solutions for Automotive, Avionics, Commercial, Consumer, Home Automation, Industrial, IOT, Medical, Multimedia, and Wearables, tailored for embedded platforms.
Yes, we provide end-to-end services- including choosing sensors, tweaking ISPs, developing HALs and drivers, and optimizing multimedia pipelines for Linux, Android, and QNX.
Yes, we made sure that our solutions are compliant. We support a number of industry-specific certifications, such as STQC, CE, RoHS, and others, depending on what the customer needs and how they plan to utilize the product.
We work with ARM SOCs, NXP, STM, TI, Qualcomm, Amlogic, Rockchip, Siliabs, ESP32, Nvidia, Marvell, Renesas, Mediatek, Allwinner platforms, ensuring optimized camera integration for ARM-based embedded systems.
Yes. We do all of the ISP tuning, including auto white balance, exposure, HDR, low-light enhancement, and noise reduction, all tailored to your specific requirements.
Yes, we make and port V4L2-compliant drivers and camera HALs for a lot of different CMOS sensors, including proprietary and cheap modules.
We check the quality of images (IQ tuning), make sure they are compliant with EMI/EMC standards, and validate long-duration video recording for production-grade readiness.
Yes, we help set up camera firmware solutions that can be updated over the air (OTA) using A/B partitioning and secure updating methods, especially for devices that run Android or Linux.
For sure, we use platforms like NVIDIA Jetson and NXP i.MX8M Plus with built-in NPU/DSP support to make camera pipelines better for AI workloads that use vision.
We offer services after development, such as fixing camera bugs, improving performance, supporting device iterations, and signing long-term maintenance contracts.