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Identification | Fingerprint to Monitor Attendance

Wireless fingerprint attendance system is deployed for one Malaysia palm planation workers. 

As the world’s second-largest producer of palm oil, Malaysia grows millions of palm trees on 15% of its total national land area. 50 thousands of people work as harvesters, field workers, mill workers, truck drivers and office workers in palm oil industry. A regular size palm plantation can have hundreds of workers, in the above 5 categories. They get paid differently based on working hours and have different working schedules. Accurately monitoring all these employees’ attendance is not easy. 

One plantation owner is applying a fingerprint attendance solution to record workers’ performance. Compared with the old manual system, which makes use of a log book to let workers write their names and the time of arrival, this biometric attendance system is more accurate, efficient and secure. 

At the entrance gate of the plantation, personnel carry Chainway handheld computers, which has a high-quality capacitive fingerprint sensor and an attendance management system (AMS). It links to the palm planation company’s back-end server via GPRS or Wi-Fi connection. Workers clock in and clock out by having their fingerprint scanned on Chainway handhelds. The capacitive scanner works like a touch screen; an electronic pulse senses the ridges of fingerprint to map-out merge and end-points. The AMS then sends it to the back-end server where compares it to the fingerprint templates in the database to verify the worker’s identity. All this happens in a second. 

Biometric attendance relies on unique and permanent physical attribute of every individual. It never changes and cannot be stolen. Using fingerprints to effortlessly verify the identity of one employee is the most common solution in the market today. Because of the uniqueness, someone cannot clock in for other, preventing the common problem of employee time theft. And Chainway handheld computer can send accurate attendance details to the company’s back-end server for further analysis and storage. 
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