White shell eggs at an egg processing plant, where grading and sorting lines are a major source of handling damage

Betagro Deploys SPY EGG IoT Sensor on Egg Grading Lines, Cutting Handling Losses by 8.7 Million Eggs a Year

Thai integrated food group Betagro has deployed SPY EGG, an egg-shaped IoT sensor that travels through its grading, sorting and distribution lines alongside real eggs to measure where shells take damaging knocks. The company says fixing the hotspots the device found will prevent the loss of about 8.7 million eggs a year.

The project, announced on 10 November, is a practical example of how instrumented “dummy” products can give egg packers line-level data that visual inspection and breakage counts cannot.

How the sensor egg works

SPY EGG matches the size and weight of natural eggs at 65g to 75g, equivalent to Thai sizes 0 and 1. It has a custom artificial shell designed to mimic the fragility and shock response of a real egg, and it carries sensors that record impact forces, vibration and movement in real time. AI algorithms convert those readings into engineering data that operations teams can use to adjust equipment.

Because the device moves through exactly the same handling steps as product eggs, it can show where along a line the risk occurs rather than only how many eggs end up cracked. Betagro developed it internally through its Material Science & Technology team, its Automation & IoT Support team and its Egg Collection Center.

The scale of egg handling losses

Betagro’s own data shows why the work matters. According to the company’s Egg Collection Centre, handling losses accounted for more than 4% of total distribution in 2025. That equals about 64 million eggs a year, worth more than 200 million baht.

The main causes it identified were:

  • impacts during automated grading and sorting;
  • instability during transport and logistics;
  • weak points in packaging.

Where the damage happened

Real-time data from SPY EGG pinpointed critical risk zones on Betagro’s sorting and distribution lines, including conveyor belt junctions, mechanical transitions and high-impact transfer points. Addressing those bottlenecks is expected to save about 8.7 million eggs a year, valued at more than 35 million baht.

The company also puts the environmental benefit at 800 tonnes of CO2-equivalent avoided each year, from less wasted product and the resources used to produce it. The project won Betagro the Outstanding Innovative Company Award at the SET Awards 2026.

Why instrumented products matter for food processing

In high-speed shell egg grading, breakage is often treated as a cost of doing business. Betagro’s figures suggest that even a few percentage points of handling loss can add up to tens of millions of units a year for a large integrator, which makes measuring where it happens worth the investment.

For egg packers and equipment makers, the lesson is that line audits with an instrumented egg can turn breakage from a monthly statistic into a map of specific machine settings, transfer heights and packaging steps to fix. The same approach can support preventive maintenance, since a change in impact readings at a known junction can flag wear before losses rise.

Betagro has not said whether it plans to sell or license the device to other producers. For now, SPY EGG shows how a relatively low-cost IoT tool can cut food waste and protect margins in one of the most fragile categories in the food supply chain.

Sources & Credits

Featured image: 20181128-AMS-PJK-1562 TONED by USDA (Preston Keres), via Wikimedia Commons (Public domain).

Reporting is based on the publicly available sources listed above and has been independently written by Food Tech Insider.

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