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    SQUAD End-to-End Video Streaming & Analytics Implementation Services

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    Sold by: SQUAD 
    End-to-end video streaming and analytics services delivered by a specialized team of high-profile specialists to accelerate camera and IoT media product development, launches, and post-launch support. SQUAD integrates embedded firmware, optimizes custom C++ WebRTC media frameworks, and deploys highly scalable, secure cloud infrastructure, positioning AWS Kinesis Video Streams (KVS) as the foundational pillar of your device-to-cloud media architecture. We deliver downstream automated video quality assessment (VQA), scene-complexity bitrate optimization analytics, and custom operational KPI dashboards to turn raw video ingest into actionable business data.

    Overview

    Key Features

    • AWS KVS-Optimized Edge Firmware Development: We build and upgrade custom firmware solutions natively integrated with AWS Kinesis Video Streams for line-powered, battery-powered, and dual-powered smart home cameras. Deliverables include low-power optimization for memory-constrained RTOS systems, 24/7 continuous streaming mode architectures, hardware-level video pre-roll buffers, and multi-resolution configurations including 2K and 4K support.

    • Custom High-Performance WebRTC & Media Infrastructure: We architect proprietary, modern C++ WebRTC streaming frameworks fully optimized for both embedded platforms and cloud scale. Implement features like dynamic Bandwidth Estimation and Bandwidth Adaptation to prevent packet loss over varying network conditions , and deploy specialized WebRTC playback engines capable of handling thousands of simultaneous sessions with precise, 1-frame seeking accuracy.

    • Production-Grade DevSecOps & Scalable Cloud Hosting: We provision regionalized, ultra-secure cloud environments built on AWS EKS and Kubernetes to support high-load backend applications processing millions of global streams. Utilizing automated Terraform/Terragrunt Infrastructure as Code (IaC) pipelines , we engineer for 99.999% availability, embed robust secure SDLC guardrails (SAST, secrets detection), and execute targeted campaigns that cut ongoing cloud infrastructure costs by up to 40%.

    • Automated QA & Video Quality Analytics: Our specialized Streaming SDET workflows utilize Python-based automated testing harnesses running continuously via Jenkins CI on real device test beds. We validate functional, stability, and stress performance across edge-to-AWS paths , generating deep quality analytics—including session availability metrics, network gap sizes, and GOP (Group of Pictures) structural health checks via ffmpeg automation.

    Highlights

    • Native AWS KVS Edge Integration: We eliminate device-to-cloud friction by writing custom RTOS and Linux firmware that hooks directly into AWS Kinesis Video Streams , supporting advanced features like 24/7 continuous streaming and video pre-roll buffering.
    • Advanced Video & Quality Analytics: We build custom algorithms and automated tools that analyze streams chunk-by-chunk for frame health, perform video quality assessment (VQA), and evaluate scene complexity to reduce data storage and network consumption by 10% to 70%
    • Operational Analytics & Dashboarding: We design custom automated data collection tools and interactive dashboards to monitor key metrics (KPIs), trend deviations, and firmware rollouts, enabling data-driven decision-making without straining development resources.

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    Deployed on AWS
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