Integration specification — AWS Rekognition Video with DVSA API

Purpose: give software engineers a clear, actionable integration plan (contracts, code sketches, config, tests, deployment notes) so DVSA API can support users who want to run high volume drone video analytics using AWS primitives (Kinesis Video Streams, S3, Lambda, Rekognition, SNS, Step Functions). This document follows the style and level of detail in my Anyscale/Anyscale Ray Serve and AWS reference notes so it can be dropped into docs/ or infra/ as a solution accelerator.

AWS has also published a broader architectural pattern under the banner of ‘Video Analysis as a Service,’ which generalizes these ideas for fleets of IoT video devices, including drones. This guidance describes a scalable, multi tenant architecture that supports real time event processing, centralized dashboards, and advanced search across large video corpora.” “Amazon’s own reference implementation for real time drone video ingestion and object detection uses Amazon Kinesis Video Streams for live ingestion, a streaming proxy on EC2 to convert RTMP feeds, and an automated frame extraction workflow that stores images in S3 before invoking Lambda functions for analysis.

1. High level integration pattern (one line)

DVSA ingest (frames / features) ↔ Kinesis Video Streams / S3 ingestion → Lambda frame extractor → Rekognition (built in or Custom Labels) → DVSA ingestion adapter → DVSA detections/actions and archival.

2. When to use this integration

• Real time or near real time monitoring of drone fleets where low operational overhead and managed services are preferred.

• Bursting workloads where serverless scaling (Lambda, Kinesis) reduces ops burden.

• Teams that want a turnkey vision API (face/object/text/moderation) without hosting custom model infra.

• Not ideal when I require complex spatial temporal reasoning, agentic retrieval, or custom multi frame LLM pipelines that must run inside DVSA’s reasoning adapters — in those cases prefer Anyscale/Ray Serve or on prem Triton adapters.