The Company
A leading U.S.-based equipment manufacturer has been designing, engineering, and building state-of-the-art machinery for the global flatbread and fried snack industry since the 1970s. With over a dozen patents awarded and more pending, the company has been a pioneer in industrial food processing automation, supporting major players in the tortilla and pizza markets. Their advanced food processing machines serve customers worldwide with precision, consistency, and high throughput.
Challenge
- Struggled to implement real-time food inspection using high-speed vision cameras
- Lacked computing infrastructure to perform AI-based quality analysis on the factory floor
- Faced difficulties finding systems rugged enough for harsh industrial conditions
- Needed to simplify camera integration in space-constrained environments
Solution
Premio provided the JCO-3000-ORN, an industrial edge AI computer equipped with NVIDIA® Jetson™ NX (16GB). The system met all the criteria:
- Enabled real-time AI inferencing for high-speed food quality inspection
- Provided built-in PoE support for streamlined connection to industrial vision cameras
- Delivered a rugged, fanless industrial-grade design to withstand vibration and temperature extremes
Benefits
Partnering with Premio provided more than just reliable edge hardware—it delivered a long-term technology foundation:
- Localized supply chain management helped reduce lead times and mitigate sourcing risks.
- Long-term product lifecycle support ensured consistent hardware availability across deployments.
- Collaborative engineering and responsive support laid the groundwork for a strong, scalable partnership.
Company background
A long-standing U.S.-based manufacturer of food processing equipment has been at the forefront of innovation in flatbread and fried snack production since the 1970s. With a strong patent portfolio and a global customer base, the company designs and builds industrial-grade machines for some of the most recognized brands in the food industry. In recent years, they’ve begun leveraging artificial intelligence to enhance factory automation—particularly in areas like real-time food quality inspection using high-speed vision systems.
Challenges
Struggled to implement real-time food inspection using high-speed vision cameras
The company aimed to integrate high-speed industrial cameras into its production lines to detect imperfections in food products as they moved through the line. However, the lack of a compatible, high-performance computing system capable of processing and analyzing video streams in real time made implementation difficult. They needed a way to perform this inspection instantly and accurately without introducing production bottlenecks.
Lacked computing infrastructure to perform AI-based quality analysis
Existing equipment couldn’t support the processing power required for edge AI workloads. Running deep learning models at the factory level—especially without cloud dependency—demanded robust GPU-based systems with lower latency and higher efficiency. Their current infrastructure lacked the capabilities to meet those demands.
Existing systems not rugged enough for harsh industrial conditions
The production environment is subject to shock, vibration, and fluctuating temperatures, which ruled out many commercial computing options. The company needed a fanless, industrial-grade system that could endure these harsh conditions without compromising performance or lifespan, but current systems failed to meet the requirements.
Needed to simplify camera integration in space-constrained environments
Space on the factory floor is limited, and adding more devices or modules often leads to clutter and increased complexity. The company wanted a compact solution with built-in PoE support to directly power and communicate with vision cameras, reducing the need for additional cabling or converters.
Solution
The company was introduced to Premio’s rugged edge computing solutions during IMTS 2024, a major manufacturing technology exhibition. This in-person connection allowed them to directly evaluate hardware demos, discuss technical requirements with engineers, and explore how Premio’s offerings could be tailored to meet their needs for AI-driven vision systems in industrial environments.
After technical evaluation, the company chose Premio’s JCO-3000-ORN, powered by the NVIDIA® Jetson™ NX 16GB module. This compact, high-performance AI edge computer provided the real-time inferencing capability required to process visual data directly on the factory floor, without relying on cloud-based compute. Its performance was ideal for running neural network models used in defect detection and food quality analysis.
Real-time AI inferencing for high-speed food quality inspection
The JCO-3000-ORN enabled seamless AI inferencing at the edge, allowing the company to analyze visual input from high-speed cameras in real time. This drastically improved the speed and accuracy of the inspection process, reducing the need for human intervention and enhancing overall product consistency.
Built-in PoE support for streamlined connection to industrial vision cameras
A critical feature that stood out was built-in PoE (Power over Ethernet), which allowed the company to directly connect industrial vision cameras without separate power supplies or adapters. This significantly simplified deployment in space-constrained areas and reduced wiring complexity—both essential in a production environment.
Rugged, fanless industrial-grade design for vibration and temperature extremes
The JCO-3000-ORN’s fanless, rugged design made it ideal for factory deployment. It is engineered to endure high vibration, shock, and extreme temperatures—conditions that are common on busy production lines. This durability ensured consistent operation and minimized maintenance requirements over time.
Benefits
Regional Supply Chain for Agile Fulfillment
With localized inventory and fulfillment channels, Premio provided a faster and more secure procurement process. This helped the customer avoid the unpredictable delays often tied to global logistics and instead focus on deploying their technology where it mattered most.
Future-Proofed Platform with Long-Term Roadmap
Premio’s commitment to industrial-grade hardware lifecycle support gave the customer the confidence to build their AI surveillance stack around a reliable foundation. The product roadmap ensures stability and continuity, even as their AI models and customer demands evolve.
Scalable Relationship for Growing Demands
Beyond hardware delivery, the partnership with Premio has matured into a strategic collaboration. From prototyping to production, the customer now has a dependable partner that can scale with them across new verticals and global regions.