EdgeInsight

Companies are looking for ways to make more data-driven decisions, and one of the cross-industry ways to gain actionable insights is leveraging computer vision. CV algorithms empower organizations to process visual data at scale, automating tasks like quality inspection, safety monitoring, inventory tracking, and employee/customer behavior analysis. By harnessing the power of machine learning and applying it to video streams from specialized industrial cameras or regular CCTV footage, organizations manage to build systems that reduce human error, improve operational KPIs, and enable decision-making based on real-time data.

While the potential of CV is bright, commercially available off-the-shelf (COTS) solutions often fall short of meeting diverse business needs. These pre-packaged tools are designed to solve a narrow set of the most common problems, limiting the application of the technology in diverse environments or for less standardized use-cases.

SoftServe’s EdgeInsight is a suite of accelerated CV solutions designed to bridge the gap between generic CV capabilities and the nuanced demands of your business. By offering an end-to-end service, from model selection to full vertical integration with your edge and cloud ecosystem, EdgeInsight empowers you with a CV system designed for easy integration with your technology stack, delivering measurable outcomes and seamlessly becoming part of your business tools.

What we do:

1. ML model selection and customization

Our team leverages decades of data science and machine learning experience of solving problems for our customers to identify and adapt the best pre-trained ML models for your use-case. Whether you need object detection, classification, anomaly detection, or custom algorithms, we ensure the selected model is optimized for performance, accuracy, and compatibility with your devices. For specialized needs, we can fine-tune existing or train custom models to address unique challenges.

2. Edge and cloud integrations

Integration is where EdgeInsight truly excels. We ensure that your CV system works with your existing IT ecosystem, naturally including AWS infrastructure, MES systems and industrial assets while honoring the IT cybersecurity policies.

3. Flexible deployment

While EdgeInsight is designed to operate efficiently on edge devices, minimizing latency and reducing reliance on cloud connectivity, it is modular, containerized and based on common Linux distributives, allowing to deploy it to a VM or Cloud EC2 instance for quick prototyping or at-scale use-cases.

4. Testing, validation, and synthetic data generation

To ensure your CV system performs reliably, we conduct testing with real-world scenarios. This includes stress-testing models, verifying inference speeds, and validating outputs against your success criteria. For the many use-cases that don’t have ready datasets, like worker safety domain involving injuries or deaths, we leverage our world-class expertise in synthetic data generation (simulation) to not only train the model, but also to test it and validate the results.

What You Will Get

1. A tailored CV solution

With EdgeInsight, you receive a solution that is custom-built to address your specific challenges. Unlike COTS tools, EdgeInsight is adapted to your environment, workflows, and goals, ensuring relevance and effectiveness across applications.

2. Scalability and flexibility

Designed with future expansion in mind, whether you want to add new use cases, ML models, integrate additional data sources, or scale to multiple sites, EdgeInsight provides the flexibility to grow alongside your business needs.

3. Real-Time Insights

EdgeInsight delivers actionable insights in real-time, enabling you to make data-driven decisions quickly. From detecting defects on a production line to monitoring safety compliance, EdgeInsight ensures you stay informed and proactive.

4. Seamless Integration with Existing Systems

Our focus on vertical integration ensures your CV solution works harmoniously with your existing tools and infrastructure. This includes compatibility with AWS services, on-premises Industrial IoT systems and data analytics platforms, ensuring a unified operational ecosystem.