Case Studies

About AddikPet

AddikPet is a leading realtime animal monitoring solution provider;

Challenge

Addikpet required a scalable IoT-based video streaming and monitoring solution capable of supporting machine learning–driven image recognition in real-world environments. The solution needed to be deployed across distributed edge devices built on a Raspberry Pi platform, with centralized configuration, management, and monitoring to support reliable rollout and ongoing operations.

Key challenges included securely ingesting and streaming video from edge devices to the cloud, enabling ML-based video and image recognition using AWS services, and ensuring the platform could scale as additional devices were deployed. The system also needed to provide operational visibility, remote device management, and resilient connectivity—bridging edge hardware, cloud infrastructure, and machine learning workloads into a cohesive, production-ready solution.

Why Lucrodyne Lucrodyne helps organizations in highly regulated and data-intensive industries turn AI initiatives into secure, production-ready systems. Our primary focus areas include insurance, healthcare, government, and industrial distribution, where reliability, governance, and operational scale are essential.

We specialize in cloud-native architecture, IoT platforms, and application modernization on AWS and Azure, working closely with engineering teams to enable intelligent edge-to-cloud solutions. Our expertise spans scalable IoT device deployment, real-time video streaming, and machine learning–based image recognition—delivering centralized management, operational visibility, and production-ready services across distributed devices.

Lucrodyne has delivered solutions for enterprises and public-sector organizations, including Provincial Government engagements through a recognized Vendor of Record (VOR). This experience ensures we bring the security controls, compliance awareness, and delivery rigor required to deploy AI systems in regulated environments.

Our Services and Solutions

► Data and AI

► Cloud-Native Applications

► Cloud Infrastructure Services

Result

Addikpet now has a fully scalable IoT video streaming platform with integrated machine learning–based image recognition, built on a Raspberry Pi edge infrastructure and hosted securely on AWS. The system enables real-time monitoring, automated detection, and actionable insights from video feeds, while providing centralized device management, operational visibility, and reliable connectivity across all deployed devices.

This solution allows Addikpet to efficiently roll out additional devices, scale their monitoring capabilities, and leverage ML-driven insights to deliver enhanced value to customers—all with minimal manual intervention.