Learn how we have developed the AI-based system that helped DTiQ customers during the COVID-19 outbreak to monitor location occupancy by leveraging the existing CCTV infrastructure.DTiQ offers holistic solutions for the whole value chain of loss prevention and intelligent video solutions for retailers: smart auditing, fraud detection, loss prevention, customer engagement, preventive safety, and advanced analytics.DTiQ Occupancy Monitoring service works by using a current location’s equipment, only by using the server to capture static images from the existing cameras at pre-defined intervals, sending them to the cloud where we analyze how many people are in the images. Our solution works for existing CCTV installations, for both IP-based and USB cameras.The project was delivered in time and budget. After 3 weeks of development, we have started to onboard clients to the platform on subscription-based commercial agreements. Over time, we have improved the performance, cost-efficiency, and scalability of the whole solution.The first phases of the entire project were delivered successfully. What’s also relevant, is that Pattern Match helped to deliver the product with the new technologies, methodologies, built-in security, and best practices. Everything in collaboration with the team, where such an experience gathered, will be beneficial to all future initiatives.

Well-knit team of senior software engineers is helping to build highly-scalable and performance-critical public transportation serverless system from areas of ecology, green energy, emission and e-mobility.Pattern Match has provided a specialized (AWS cloud and transportation domain) harmonious team. Key Figures:Independent and self-organized team of size 5 people consisting only Senior Software EngineersOur team covered architecture, development, testing, and AWS infrastructureQuick onboarding and project kick-off - in less than one week our team started delivering business valueThanks to our help, the development of a mission-critical system is racing forward. Pattern Match‘s team has started and helped to maintain the pace of the architecture and development of the critical components of the system. Customer is willing to expand a team in the next years as project roadmap has an even more ambitious milestone ahead.

The main challenge int this project was to understand the Erlang component inherited by the team and make it production-ready in a couple of weeks. It had never been handling significant live traffic before, so we had to start by adding a proper suite of tests to make sure it behaves correctly.We finetuned the whole system including:- adding circuit breakers protecting our system when some of the dependencies are malfunctioning- modifying and fixing and 3rd party libraries used in the component- configuring verbosity and rotation of logs to have all information needed while protecting the system from log overflow- increased the system level limits to accommodate such traffic- selecting the best EC2 instance type and validating AWS setupWe also introduced a bunch of new metrics that helped a lot with tracing issues during day to day operation of the system.