Plainsight, the leader in automated infrastructure for data-centric AI pipelines, has officially announced the launch of OpenFilter, which would be an open source project, designed to simplify and accelerate the development, deployment, and scaling of production-grade computer vision applications.

According to certain reports,, OpenFilter arrives bearing an innovative “filter” abstraction that packs code and AI models into modular components to help developers assemble vision pipelines. More on the same would be how OpenFilter can directly address the challenges enterprises face when working to deploy AI computer vision in production.

For instance, the solution’s frame deduplication and priority scheduling facility can reduce GPU inference costs, whereas on the other hand, its advanced abstractions can also reduce deployment timelines from weeks to days. Beyond that, the technology will also leverage extensible architecture future-proofs investments to allow for seamless adaption to audio, text, and multimodal AI, something which propels OpenFilter to become a foundational platform for scalable, agentic computer vision systems.

“OpenFilter has revolutionized how we deploy vision AI for our manufacturing and logistics clients,” said Priyanshu Sharma, Senior Data Engineer, BrickRed Systems. “With its modular filter architecture, we can quickly build and customize pipelines for tasks like automated quality inspection and real-time inventory tracking, without having to rewrite core infrastructure. This flexibility has enabled us to deliver robust, scalable solutions that meet our clients’ evolving needs.

Talk about the whole value proposition on a slightly deeper level, we begin from its open source core. You see, boasting Apache 2.0-licensed runtime, the solution is effectively with an assortment of pre-built filters for common tasks (tracking, cropping, and segmentation etc).

Staying on the technology’s runtime capabilities, they will further allow users to manage video inputs (RTSP, webcams, image files), processing, and output routing to databases, MQTT, or APIs.

“OpenFilter is a leap forward for open source, giving developers and data scientists a powerful, collaborative platform to build and scale computer vision AI,” said Chris Aniszczyk, CTO, CNCF. “Its modular design and permissive Apache 2.0 license make it easy to adapt solutions for everything from agriculture and manufacturing to retail and logistics.”

Another detail worth a mention is rooted in OpenFilter’s modular pipelines that will pave the way for you to assemble filters for tasks like object detection, deduplication, or alerts into reusable workflows. Then, there is potential for flexible deployment, as users can deploy filters across CPUs, GPUs, or edge devices, optimizing resource costs.

Beyond that, the solution also brings broad model support to facilitate the integration of PyTorch, OpenCV, or custom models (e.g., YOLO), while simultaneously avoiding vendor lock-in.

Turning our attention towards some of OpenFilter’s possible use cases, they include manufacturing, a space where it can deliver automated quality inspection, defect and foreign object detection, and fill level monitoring on production lines.

Next up, the technology can enable retailers and food service to access drive-through analytics, cup and condiment counting, and real-time inventory tracking.

Joining that would be a use case in the logistics and supply chain. Here, OpenFilter can conduct vehicle tracking, automated inventory management, and workflow automation.

Apart from that, the agriculture sector also stands to benefit from the given innovation. We get to say so because it can tread up a long distance to aid in precision farming and livestock monitoring through drone and camera footage analysis.

Hold on, we are not done, considering we still haven’t touched upon the fact that even security teams can use it to count people, conceive surveillance automation, and achieve safety protocol enforcement.

Rounding up highlights would be IoT and Edge applications that can bank upon OpenFilter for event detection and alerting.

“OpenFilter is the abstraction the AI industry has been waiting for. We’re making it possible for anyone – not just experts – to turn camera data into real business value, faster and at lower cost,” said Kit Merker, CEO, Plainsight. “By treating vision workloads as modular filters, we give developers the power to build, scale, and update applications with the same ease and flexibility as modern cloud software. This isn’t just about productivity, it’s about democratizing computer vision, unlocking new use cases, and making AI accessible and sustainable for every organization.”