Implement Machine Learning Model for Threat Detection in X-ray Images Overview: Our customer, who specializes in security baggage scanners and...
VoidStarMedia
Product Engineering Firm Streamlines Intricate Multimedia Workflows Across All Platforms
We engineer embedded vision systems— from raw sensor input to field-deployed, production-ready AI.
“We deliver cutting-edge embedded systems, multimedia solutions, and AI/ML integration that powers the next generation of connected devices across automotive, healthcare, IoT, and broadcast industries.”
Who We Are
Built for systems that cannot afford to fail.
We are a specialized embedded vision and AI engineering company. Our work sits at the most demanding intersection of hardware and software — field-deployed systems where latency, reliability, and edge-only operation are not optional.
We build the full stack ourselves: from board bring-up and Linux BSP, through optimized camera and sensor pipelines, to AI inference on embedded NPUs, sensor fusion, and secure real-time streaming. No handoff gaps. No cloud dependency. No integration surprises at delivery.
Our systems run in defence optics, unmanned aerial platforms, and automotive ADAS — environments where the software either works in the field, or it doesn’t work at all.
The Problem We Solve
Field deployment is where
embedded AI projects break down.
The lab works. The dev kit works. The moment you put it on real hardware, in a real environment, under real constraints — that’s where teams get stuck.
Multi-sensor data available. Real-time perception inference on a constrained edge device is where programmes stall.
Sensor registration, spatial calibration, frame synchronisation, and real-time overlay on a constrained embedded ARM target — under hard latency requirements. We have built this for a deployed defence optics system. We know exactly where it breaks.
Model validated. Deploying it as a production-ready, NPU-accelerated pipeline on constrained hardware is a different problem entirely.
NPU integration, pipeline optimization, and inference tuning on the actual target SoC — each layer is a week your team didn't budget for. We've done this on Hailo-8 and iMX8MPLUS in production.
Field-deployed video reaching command — encrypted, peer-to-peer, over constrained networks — is where most teams hit the wall.
Low-latency encrypted streaming from a field unit to ground control or a mobile command interface — over unreliable networks, without cloud dependency. We've built this with WebRTC on embedded Linux.
Smooth on the development system. On the target embedded platform, HMI performance degrades under real load.
Display driver gaps, rendering latency, and boot sequencing failures only surface on the actual embedded target — under real GPU load, with live camera feeds, on constrained hardware. We resolve these at the platform level, not by patching symptoms.
Proof of Work
A verified record of embedded
vision systems engineered, delivered,
and field-deployed.
Every entry below represents a system that reached production — built on target hardware, validated in real operating conditions, and handed over to a customer who depended on it working.
|
Domain
|
What Was Built
|
Platform
|
The Result
|
|---|---|---|---|
|
Defence
|
Dual camera HMI — thermal + RGB fusion, AI target detection, secure WebRTC remote view, web config interface
|
Embedded ARM Linux
|
Vehicle & personnel detection, field deployed
|
|
UAV
|
Object detection + tracking + encrypted WebRTC live stream to ground control
|
Hailo-8 + Embedded Linux
|
30fps inference streamed live, zero cloud dependency
|
|
Automotive
|
ADAS pipeline — rear parking assist, driver behaviour monitoring, traffic sign detection
|
NXP iMX8MPLUS + Hailo-8
|
Running on NPU at production frame rates
|
|
Automotive
|
Linux boot time optimization — bootloader, kernel, and user space tuning
|
STM32MP2
|
26s → under 3s boot-to-camera
|
|
Automotive
|
Custom display BSP — TIANMA display integration on iMX6
|
NXP iMX6
|
Production display bringup, delivered
|
|
Broadcast
|
KV260 bringup, GStreamer + WebRTC pipeline, iOS/Android remote viewer app
|
Xilinx KV260 (Wohler)
|
Live A/V monitoring from mobile, production deployed
|
|
Surveillance
|
Windows media player — GStreamer backend, live + recorded playback, dewarping pipeline
|
Windows / .NET (Vicon)
|
Playback issues resolved, dewarping shipped
|
|
Surveillance
|
.NET and JavaScript SIP SDK with Asterisk backend integration
|
Windows / Web (Zenitel)
|
Production SDK, deployed in customer product
|
|
Industrial
|
X-ray image processing pipeline — threat detection in baggage scanner imagery
|
NVIDIA GPU + CUDA
|
CUDA kernel optimization, throughput improved
|
The Platform
We own the full stack.
One team, no handoffs.
Every layer — BSP, camera pipeline, AI inference, sensor fusion, and streaming — is built and owned by the same team. No integration gaps at delivery. No surprises when it hits the field.
05 · Streaming
WebRTC, HLS, RTSP, MQTT — to any client, dashboard, or mobile app
04 · Fusion & Analytics
Thermal-RGB registration, multi-object tracking, telemetry overlay, event alerting
03 · AI Inference
HW-accelerated detection, DMS, segmentation, classification — on-device
02 · Camera Pipeline
GStreamer, HW codec, zero-copy DMA buffers,
OpenGL ES rendering01 · BSP / Kernel
Board bringup, drivers, boot optimization, display &
camera integration
Hardware platforms shipped
NXP iMX6 / iMX8MPLUS
STM32MP2
Xilinx / AMD KV260, ZynqMP
NVIDIA Jetson TX2 / Xavier
Hailo-8 NPU
Toradex / Broadcom BCM2835
AI frameworks deployed
TensorFlow / TF Lite
PyTorch / YOLO v5, v8
OpenVINO / OpenVX
TensorRT / CUDA / cuDNN
Keras / Vulkan
Services
What we build for you
Four deep specializations. Each one battle-tested in production across multiple platforms and domains.
Embedded Linux &
BSP
Full board bringup, custom Linux BSP, kernel driver development, and hardware integration. From bare silicon to a running Linux image with your complete software stack.
ARM SoC porting — Yocto, PetaLinux, custom rootfs
Boot time optimization across bootloader, kernel, userspace
Camera, display & hardware accelerator bringup
MIPI-CSI, GMSL camera sensor integration
MIPI-DSI, LVDS display integration
V4L2, ALSA, I2C, SPI, UART driver development
NEON SIMD, FPGA, DSP, CUDA offloading
Yocto | STM32MP2 | NXP iMX | Xilinx |
MIP
Camera & Media Pipeline Engineering
High-performance GStreamer and FFmpeg pipelines with hardware codec acceleration, zero-copy buffer management, and sub-100ms streaming latency. We also fix pipelines that are already broken.
Custom GStreamer / FFmpeg plugin development
HW-accelerated codec integration — H.264, H.265, VP8/9
Multi-stream composition & telemetry overlay pipelines
OpenGL/ES, DRM, KMS rendering & zero-copy DMA
FishEye calibration, dewarping, image enhancement
HLS, MPEG-DASH, WebRTC end-to-end streaming
Adaptive bitrate, VoD-to-Live transformation
GStreamer | FFmpeg | V4L2 | OpenGL ES | WebRTC | RTSP | HLS
Edge AI & Inference Pipelines
AI models deployed on embedded NPUs with production-grade performance. Not just running the model — integrating it into a zero-copy pipeline, tuned for your SoC, hitting your latency targets.
Object detection, segmentation, tracking — YOLO family
Driver behaviour monitoring — drowsiness, yawning, phone use
ADAS — collision detection, lane departure, parking assist
Threat detection — camera tampering, X-ray, fire & smoke
Super resolution, deblurring, denoising pipelines
Vehicle speed estimation, multi-camera analytics
CUDA, OpenCL, SIMD optimization for compute workloads
Hailo-8 | iMX8 NPU | TensorRT | OpenVINO | YOLO | TF Lite | CUDA
HMI & Remote Monitoring
Operator interfaces built for the field — Qt HMI on embedded Linux, web configuration panels, and cross-platform mobile apps using GStreamer + WebRTC for real-time A/V.
Qt / QML HMI development for automotive & industrial
Android / iOS apps with GStreamer + WebRTC backend
Web-based device configuration & monitoring interfaces
SIP SDK development — .NET and JavaScript
Real-time A/V calling — low latency, hardware-optimized
Integration with Asterisk, AntMedia, RTSP backends
Qt / QML | Android | iOS | WebRTC | SIP | REST API | Wayland
Domains
Defence. UAV. Automotive. One engineering team.
The same core stack — sensor fusion, edge AI, and secure streaming — tuned to the requirements and failure modes of each domain.
Rugged Vision Systems
Mission-critical optical systems with thermal + RGB sensor fusion, on-device AI target detection, and encrypted remote command interfaces — built for field deployment, not the lab.
View More!Unmanned & Industrial
Edge AI inference and low-latency encrypted video streaming for unmanned platforms — all processing on-device, no cloud relay, operational in disconnected environments.
View More!ADAS & Infotainment
Camera pipelines, NPU-accelerated ADAS inference, and HMI display bringup for automotive-grade Linux platforms — production-validated, not prototyped.
View More!• Rear parking assist, DMS, traffic sign detection on iMX8MPLUS
• HW-accelerated GStreamer + OpenGL overlay rendering
• BSP: STM32MP2, iMX6, iMX8 — production bringup
• Boot optimization: 26s → 3s for OEM time-to-first-frame
• Qt HMI integration with live media pipeline
• TIANMA display integration on iMX6 drone platform
Multimedia & Broadcast
Professional streaming solutions, media processing pipelines, and remote monitoring for broadcast-grade audio/video systems.
View More!
Video Surveillance & Security
Smart security systems with real-time threat detection, camera tampering alerts, and optimized media pipelines for NVR/DVR and IP camera platforms.
View More!Multimedia & Broadcast
Professional streaming solutions, media processing pipelines, and remote monitoring for broadcast-grade audio/video systems.
View More!Video Surveillance & Security
Smart security systems with real-time threat detection, camera tampering alerts, and optimized media pipelines for NVR/DVR and IP camera platforms.
View More!Technology
Deep stack expertise
Not generalists. Every tool listed here represents production-proven, real-world deployment experience.
Multimedia Frameworks
GStreamer, FFmpeg, OpenMAX,
OpenCV, Android Media FWStreaming Protocol
WebRTC, HLS / MPEG-DASH, RTSP / SRTP,
SIP / Asterisk, MQTT / RESTStandards & Protocols
V4L2 / MIPI-CSI, DRM / Wayland / KMS,
GMSL / CAN / USB, NEON / AVX / SIMD,
CEA-608 / CEA-708Video Codecs
H.264, H.265, VP8,
VP9, MPEG-2
AI/ML Frameworks
TensorFlow / Lite, PyTorch / YOLO,
OpenVINO / OpenVX, TensorRT / CUDA,
Keras / VulkanHMI
FrameworksQt / QML, Android, OpenGL ES
Audio
CodecsOPUS, AAC, FLAC, VORBIS, MP3
Subtitles / CC
CEA-608, CEA-708
Case Studies
Read the details
Deep dives into selected projects — the challenge, what we built, and the outcome.
- Case Studies
Overview We have developed a specialized application for object detection and tracking, utilizing a single camera module. The YOLOv5 trained...
Introduction The Multi-Camera Composition System addresses the challenge of rendering real-time video composition from 8 camera capture inputs using a...
Overview Our customer wanted the frames captured from Blackmagic card to be transferred on GPU memory for further faster image ...
Overview Here is a rough proposed solution for drone HLS streaming. In this solution, we will stream the drone’s camera...
Overview Our customer is into audio and video monitoring. The requirement was streaming video with 16 audio channels stream from...
How We Work
Deep technical collaboration. Clear accountability. Delivery validated in the field.
We align to your programme requirements from the first technical review through to field validation — with full ownership of the embedded vision stack at every stage.
Requirements Review
We engage with your hardware targets, operational constraints, and programme timeline. Technical questions first — so the scope is grounded in what your platform can actually deliver.
Technical Assessment
We evaluate feasibility on your target platform, identify risks at the architecture level, and propose the right technical approach — before any commitment is made.
Scoped Proposal
Milestones, deliverables, and timeline agreed in writing. Every layer of the stack is accounted for — no ambiguity about scope, no surprises at delivery.
Build & Field Validate
We build on target hardware, validate under real operating conditions, and deliver production-ready code with full documentation. Field validation — not bench sign-off — is our definition of complete.
Building a field-deployed vision system? Let's talk.
Tell us your platform, your domain, and your constraints. We’ll give you an honest assessment of what’s achievable — and whether we’re the right team for it.
VoidStarMedia