Industrial automation systems are constantly seeking ways to streamline processes, reduce costs, and improve productivity. However, addressing these needs effectively starts with making the right technology choices from the beginning. Despite being the default, legacy and proprietary systems fall short of meeting the demands of today’s fast-paced, data-driven operations and are unsustainable for future growth.
Getting with the times, and prioritizing scalable technology is essential to position your business for effective growth. Many companies discover that implementing Computer Vision requires costly GPU-heavy hardware setups, where the investment often can’t deliver the expected ROI. With the Avassa Edge Platform, Plainsight’s Color Detection Filter on a CPU delivers quick responses without the additional GPU-based hardware until it’s necessary. This approach enables facilities to minimize GPU expenses, while still benefiting from reliable, real-time data processing.
Once you move beyond simple use cases, like detecting if a train has pulled into a rail yard, implementing GPU hardware and deploying a more sophisticated filter become necessary for advanced tasks such as object detection or reading a serial number on a car. This calls for sophisticated infrastructure solutions that offer edge-native central management and automation, robust security measures, and the ability to scale with ease.
Using the Avassa Edge Platform, users deploy, monitor, and update containerized workloads in resource-constrained, mission-critical edge environments with ease. And with Plainsight, you can deploy a GPU that activates only when needed, providing on-demand access to GPU power.
Future-Proofing Infrastructures
Achieving long-term scalability requires a flexible, future-ready foundation where business environment elements like lighting, data systems, and physical infrastructure can evolve with business needs. A production system that can cope with these dynamic conditions does more than run AI prototypes or support current operations; it enables cost-effective scaling for future demands. Plainsight’s Computer Vision data-to-model pipeline allows enterprises to adapt Computer Vision applications and models, while the Avassa Edge Platform enables the orchestration of multiple edge deployments in a scalable way. Together, these capabilities allow businesses to rapidly deploy and manage multiple Computer Vision applications efficiently and securely across any number of locations, with the flexibility to adjust and expand as needed.
In this short demo:
- Plain sight Video Input Stream and Output Recorder (VISOR) Filter runs as a container in the Avassa Edge Platform on unstructured video
- Those data are processed into business-relevant data and input into downstream data systems
- Generate and view alerts based on data collected (train data), demonstrating a practical use case for edge-based IoT monitoring systems
Unlocking Real-Time Intelligence for Sustainable Growth
The collaboration between Avassa and Plainsight delivers a breakthrough solution for industrial automation, combining cost-effective, flexible computer vision capabilities at the edge with scalable application orchestration and operations capabilities. By transforming the visual media–like serial numbers on train cars–into structured, actionable metrics and activating GPU power only when necessary, this solution empowers facilities to optimize performance, reduce costs, and maintain a competitive edge. In today’s fast-paced, data-driven environment, Avassa and Plainsight provide the adaptability required to build and scale computer vision solutions that meet the demands of tomorrow, fostering growth that is both effective and sustainable.
