Edge Computing + Machine Vision: BRAV-7821 Makes Smart Agricultural Product Sorting a Reality
Manual sorting is inefficient, error-prone, costly, and often results in missed detections. High-quality fruit fails to fetch premium prices, while defective fruit can damage brand reputation. Labor shortages during peak seasons and high labor costs during off-seasons have pushed traditional sorting methods to their limits.
Is there a solution that can improve efficiency, reduce costs, and deliver stable, reliable performance?
The answer lies in edge computing and machine vision
Today, we’ll take a closer look at the BRAV-7821 Intelligent Fruit Sorting Solution and explore how its powerful technologies help overcome the key challenges of fruit sorting.
Pain Points in the Fruit Sorting Industry
Every year during the fruit harvest season, sorting is a major challenge for fruit farmers and processing plants:
⏳ Low efficiency: Manual sorting allows a skilled worker to process a maximum of 300 pieces of fruit per hour. During peak season, production capacity cannot keep up, and fruit rots on the ground before it can be sorted.
📏 Large margin of error: Human eyes tire easily after prolonged work, leading to large errors in size grading. Good fruit doesn't fetch a good price, and inaccurate grading directly impacts profits.
💰 High costs: Recruiting workers is difficult during peak season. Sorting workers are paid well, and room and board are also provided, resulting in consistently high labor costs throughout the year.
*Traditional manual sorting site
🔍 Too many missed inspections: The missed inspection rate for manual sorting is as high as 8%, allowing defective fruit to enter the market and damaging brand reputation.
Traditional manual sorting can no longer keep up with current production capacity demands; machine vision-based intelligent sorting has become the inevitable choice.
🧠 The biggest challenges in agricultural product processing are now being solved with edge computing and machine vision.
Intelligent Fruit Sorting Solution Based on BRAV-7821
To address the needs of fruit sorting, an end-to-end machine vision intelligent sorting solution was developed based on the JHCTECH BRAV-7821 edge computing system.
📐 Solution Architecture
📸 Image Acquisition: Multiple high-resolution industrial cameras are deployed on the production line to acquire images of the fruit from multiple perspectives, transmitting data via 2-8 PoE ports;
💡 Light Source Control: 4-8 ring light sources provide auxiliary lighting, with digital light source controllers communicating and controlling via serial ports;
🧠 Edge Inference: The BRAV-7821 acts as an edge computing node, running machine vision detection algorithms locally to identify the size, shape, and appearance defects of the fruit in real time;
⚙️ Sorting Execution: After inspection, the equipment outputs grading signals in real time, controlling the sorting mechanism via serial ports to complete automatic grading. The entire process has an end-to-end latency of less than 100ms.
The Power Behind BRAV-7821
What makes this intelligent sorting solution possible? The answer lies in the powerful capabilities of the BRAV-7821.
⚡ Superior AI Computing Power: Equipped with an Intel Arc™ GPU, boasting up to 74 TOPS of INT8 computing power, coupled with a 13 TOPS NPU, and utilizing the OpenVINO network algorithm, it's sufficient to support real-time inference for machine vision algorithms. All calculations can be completed at the edge without transmitting data to the cloud, ensuring low latency and smooth operation.
🔌 Rich Expansion Interfaces: Features a built-in PCIe X16 expansion slot for direct installation of PoE image acquisition cards and simultaneous connection to multiple industrial cameras, meeting the needs of multi-view inspection; three Gigabit Ethernet ports satisfy data transmission and device networking requirements.
🏭 Industrial-Grade Stability: Designed for a wide temperature range of -20℃ to 65℃, it is vibration and shock resistant, ensuring stable operation even with 24/7 continuous operation, perfectly suited to the harsh production environments of factories.
💾 Large Memory and Storage: Supports up to 96GB of DDR5 memory and has dual storage interfaces, providing ample storage for algorithm models and production data, eliminating concerns about insufficient memory.
Implementation Results: Efficiency Increased Tenfold, Costs Reduced By 75%.
After this solution was implemented at a fruit processing plant in China, the results far exceeded expectations:
🚀 Processing efficiency: It can process 3,000 fruits per hour, 10 times that of manual labor, eliminating concerns about insufficient production capacity during peak seasons;
🎯 Inspection accuracy: Size inspection accuracy reaches 99.2%, ensuring precise grading and allowing high-quality fruit to fetch better prices;
📉 Cost reduction: Previously requiring 4 sorting workers, now only 1 maintenance personnel is needed, reducing average monthly sorting costs from 24,000 yuan to 1,500 yuan, a direct reduction of 75%;
✅ Missed inspection rate: The missed inspection rate is only 0.5%, virtually eliminating defective fruit from entering the market and maximizing brand reputation.
🍎🍐🍊🥝🥭 Moreover, the detection accuracy is extremely high for different fruits: Whether it's apples, navel oranges, crown pears, kiwis, or mangoes, the average size detection error is less than 0.3mm, far more accurate than the human eye! 👁️➡️🤖
Why Choose BRAV-7821?
Compared to traditional IPCs, the BRAV-7821 offers the following irreplaceable advantages:
🧠 Full Edge Computing Coverage
It doesn't rely on the cloud; all inference can be completed locally with low latency, eliminating concerns about production line shutdowns due to network outages.
🔧 Flexible Expansion
Adding camera interfaces, 5G modules, or storage can be easily achieved through expansion interfaces without replacing the equipment.
🛡️ Stable and Reliable
With its industrial-grade design, it can operate 24/7 without issues in the high-temperature and dusty environments of factories, with an extremely low failure rate.
💰 Excellent Cost-Effectiveness
At the same computing power, it's half the price of imported edge computing equipment, resulting in low deployment costs and a fast return on investment—paying back the cost in less than six months.
The intelligent upgrading of agricultural product processing is no longer an option, but a necessity.
🚀 The BRAV-7821 edge computing system—with its powerful computing capabilities, flexible scalability, and industrial-grade stability—helps you quickly implement machine vision solutions, solve sorting pain points, improve efficiency, reduce costs, and contribute to smart agriculture!
Learn more about BRAV-7821 series