STREAMING FOR CAMERAS
AND IoT DEVICES
We integrate the Streaming, which ensures the high reliability of your security systems, enabling you to respond to any incidents promptly
and provide high-quality evidence instantly for your peace of mind.
Our Expertise
in Streaming
We deliver an outstanding video experience across all platforms. As most of our solutions run on embedded systems, we constantly collaborate with hardware vendors to achieve optimal performance and deliver exceptional features. We achieve outstanding results thanks to:
Audio/Video Streaming
Infrastructure and Security Engineering
From developing comprehensive streaming platforms to optimizing video streams for resource-constrained devices, our team provides a complete development cycle. We offer cloud-based media processing services and create SDKs for easy integration of streaming features into your apps.
Our expertise will cover your request in:
Design and development of end-to-end streaming solutions
We build complete streaming systems customized for your product.
Embedded resource-constrained video streaming
(Linux, RTOS)
We optimize video streaming for devices with limited computing power and memory, running on Linux or real-time operating systems.
Cloud media processing services
We use cloud infrastructure to handle media transcoding, storage, and distribution at scale.
Streaming SDK development
We develop robust Software Development Kits that enable seamless integration of streaming capabilities into your applications.
Low-latency streaming solutions
We ensure real-time video delivery with minimal delay—ideal for surveillance and interactive use cases.
The Equipment
We Use
To address deep technical challenges and accelerate the development process, we established a laboratory to provide our teams with state-of-the-art equipment, enabling us to simulate various constraints for testing video quality in complex scenarios. Each team involved in streaming at different stages has its platform for experimentation, encompassing both new feature inventions and sustaining activities.
VIDEO STREAMING LAB
The Lab enables conducting Video Quality (VQ) evaluation tests for security cameras and doorbells under various WiFi conditions and different video scenes. Using this Lab, the team optimizes video encoder settings and tunes streaming algorithms to achieve the best video quality for various video scenes and network conditions. The Lab also allows for assessing changes in streaming and investigating streaming issues in the early stages.
On average, up to 50 tests per day of varying complexity are conducted here. With its help, we developed an algorithm for optimizing the bitrate while preserving video quality, which reduces network data usage and, accordingly, storage space by 10-70% (depending on the complexity of the scene).
Under the hood:
Technology Stack & Tools
We work across a wide range of tools, platforms, and architectures to deliver seamless, low-latency video experiences.
Streaming solutions
Live555, GStreamer, WebRTC
Codecs
H264/H265, Opus, PCU, AV1
Languages and libraries
С/C++, STL, Boost, Multithreading, Posix
Networking
TCP/IP, RTP, STUN/TURN, ICE
Architectures
ARM, Ambarella, SigmaStar, OmniVision, Broadcom
Operating systems
RTOS, Linux (kernel and user spaces)
Our Process
We guide the development of AI-based vision systems from initial concept to real-world deployment. Each step focuses on building models that run reliably on hardware-constrained devices, with results that hold up across changing conditions.
Strategize
We start by aligning product needs, use cases, and hardware limits. Together, we define where and how AI can deliver value.
Design
We define model architecture, training data strategy, and validation plans—taking into account hardware specs, sensor types, and deployment targets.
Develop
Our team builds, tests, and integrates AI models into your product—working closely with firmware, mobile, and cloud engineers. This includes model training, quantization, and hardware-level tuning for efficient real-time inference.
Launch
We support field testing, integration with firmware or mobile apps, and over-the-air updates to ensure consistent, stable performance in real-world use.
SustaiN
Post-launch, we monitor performance, update models as needed, and help adapt to new devices or conditions—keeping your system accurate and reliable long-term.
Why Choose SQUAD
We are a single engineering partner that takes your product from concept to manufacturing readiness. We combine product design, hardware, firmware, cloud, machine learning, and mobile into an integrated end-to-end process, so you get a complete, production-grade solution with predictable execution.
Our R&D is built to deliver, not just explore. We use a proven, codified delivery process and modern AI-based tools to move quickly, validate ideas, and deliver meaningful improvements with clear business value.
Our 6,500 m² (70,000 sq ft) labs help teams accelerate validation and product maturity. With specialized equipment and test benches, we detect issues early, reduce technical risk, and solve deep engineering challenges faster.
We have 600+ tech and product development experts across embedded systems, cloud, mobile, and AI. Our cross-functional teams build seamless user experiences and complex products, backed by strong engineering discipline and recognized certifications.
We engineer for measurable impact. Our delivery model is focused on on-time, on-budget execution, high customer satisfaction, and confident product launches, helping teams move from idea to market. Our track record includes 500+ projects, 50+ devices, 100+ app releases, and 20+ AI features.
Need an outstanding streaming solution? You're in the right place to get it.
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Other Related Services
AI & COMPUTER VISION
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IMAGE QUALITY AND VIDEO QUALITY
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MOBILE ENGINEERING
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