PALMJET
Technical
specifications
PALMJET is a contactless biometric reader for identification via the pattern of blood vessels in the palms. The reader is designed for organizing access control and management systems, work time tracking.
Device details
No need to carry RFID cards, keys or touch biometric scanners — put your palm right to the PALMJET, and the device will quickly and accurately recognize it at a distance of 40 to 100 mm. Identification in less than a second!
No errors in recognition: PALMJET reads a unique pattern of palm veins in two IR spectra. Our BioSmart mathematical algorithm based on the method of deep machine learning of neural networks identifies your palm with high accuracy.
PALMJET scans the veins of the palm in any lighting - even in complete darkness or in direct sunlight – all thanks to a special optical design with an IR filter and polarization.
PALMJET is compact and can be conveniently built into a wall or turnstile. The external dimensions of the device are 96x96 mm, and it protrudes only 4 mm.
PALMJET is powered by PoE (Power over Ethernet) technology; no other external power is needed. It is connected via a local network with a standard RJ45 connector and a maximum distance of up to 100 meters.
PALMJET is equipped with a built-in Mifare / Desfire card reader, which allows you to organize a guest pass on the cards or use a combined "card + palm" mode on security critical objects.
PALMJET is made to organize access control and time & attendance systems. The device connects to the BioSmart Unipass access controller or any third-party ACS controller by Wiegand or OSDP integration.
Deep integration of PALMJET into third-party systems and software packages is possible using the SDK REST API, where processing and recognition of biometrics is transferred to an external PC or server.
PALMJET advantages
Contactless identification
Identification of wet or dirty hands (dust, dirt, oil, coal dust etc.)
Identification of palms with shallow cuts
Protection against forgery: the veins of the palm are indistinguishable in the visible spectrum, so their pattern cannot be faked with a photo or a dummy
Uniqueness and invariability of an identifier: the pattern of the palm veins is formed at the age of 6-10 years and does not change with age
Hygienic scanning
Absolute health safety
Low error rate
Features of the mathematical algorithm PALMJET
Since 2012, BIOSMART has been researching and developing mathematical identification algorithms based on the pattern of veins in the palms.
A unique deep machine learning algorithm developed by the company's specialists based on convolutional networks for the veins of the palms gives a low rate of Type I errors (FAR). In this indicator, palm vein recognition systems are significantly superior to other biometric identification methods, for example, by face or fingerprints. The probability of erroneous granting of FAR access is:
1 * 10 ‾ 8 at FRR 3% for a database of 50,000 palm vein patterns.
1 * 10 ‾ 8 at FRR 3% for a database of 50,000 palm vein patterns.
The algorithm easily handles palm turns up to 90 degrees, inaccurate positioning and incomplete extension of the palms. Thanks to the normalization algorithm, the scanner recognizes the palm with equal efficiency at a distance of 40 to 100 mm.
The biometric information database is reliably protected: a mathematical template (descriptor) is written into the database, from which it is impossible to recover the original graphic image. Templates are encrypted to ensure maximum protection of biometric data.
PALMJET technical specifications
| Palm vein scanner | Optical, multispectral, infrared |
| Identification method | Contactless |
| Identification modes | "Palm or card", "card + palm", "palm on smart card" |
| Scanning range | 40-100 mm |
| Integrated processor | ARM Cortex |
| Integrated card reader | Mifare / Desfire 13.56 MHz |
| LED indication | 3 colors (blue, green, red) |
| Sound | Multi-tone speaker |
| Interface | Ethernet (IEEE 802.3u, 100BASE-TX) |
| Power | PoE IEEE802.3af class 3 |
| Dimensions (HxWxD), mm | 96x96x56 |
| Weight, Net, gr. | 318 |
| Working temperature, ° С | From -30 ° С to +50 ° С |
| Relative humidity,% | up to 90 |
| Ingress protection | IP65 protection against dust and moisture |
| Housing | Plastic housing, embedded |
BioSmart UniPass
The PALMJET scanner is connected to the BioSmart Unipass 3 control controller, which is built on the basis of a specialized 6-core processor module for processing neural networks. The Unipass controller can work as part of the BioSmart access control and work time tracking system under the control of Biosmart-Studio software.
BioSmart UniPass allows you to organize access control via palm veins and RFID cards. It can also be integrated into any third-party access control system. Any executive device (locks, turnstiles), as well as all kinds of sensors can be connected to the inputs / outputs of the controller.
BioSmart UniPass allows you to organize access control via palm veins and RFID cards. It can also be integrated into any third-party access control system. Any executive device (locks, turnstiles), as well as all kinds of sensors can be connected to the inputs / outputs of the controller.
| Maximum number of users in 1:1 Verification mode | 300,000 |
| Maximum number of users in 1:N mode | 50 000 |
| Error probability | FAR 1 * 10 ‾ 8 |
| Autonomous event memory | 1 million |
| Identification time 1: 1 | less than 0.5 seconds |
| Identification time 1:10 000 (UniPass controller, controller based on RockChip RK3399Pro processor) | less than 2 seconds |
| Identification time 1:10 000 (Server Core I7 4 cores) | less than 1 second |
| Number of PALM JET readers (ports with PoE) | 2 |
| Number of external RFID readers | 2 Wiegand + 2 OSDP |
| Communication interface with PALM JET readers | Ethernet (100BASE-T), 1Gb |
| External interfaces RS485 | 2 |
| External interfaces USB 2.0 | Yes |
| Wiegand output | 2 x 26/32 bit |
| Discrete inputs | 6 |
| Relay outputs | 2 x 12-24 V, 7A |
| Operating system | Linux |
| Power supply | 12V ± 15%, 3A |
| Operating temperature | 0 ... + 50 ° C (+32 ... +122 ° F) |
| Enclosure type | Plastic with metal cover, DIN rail mounting |
| Dimensions (H x W x D), mm | 125 x 190 x 40 |
| Net weight, gr. | 300 |
| Warranty | 2 years |
Connection schemes
PALMJET fits perfectly into existing access control systems and new ones as well.
PALMJET biometric identification technology
The method of non-contact scanning of the pattern of blood vessels in the palm is based on reading in infrared ranges of emitting reflected from the surface of the hand.
Blood hemoglobin absorbs part of the infrared waves, therefore, emitting reflected from the veins of the palm is of lower intensity than from the rest of its surface. As a result, the unique pattern of the veins in the palm appears as a pattern of dark lines.
Principle of operation
Contrast pattern of palm veins is formed due to different emitting absorption coefficients of veins and tissues of a palm
Camera
IR cut filter
Reflection
Palm vein patterns are unique to each and every body
It scans the palm vein pattern and compares it with one in the database
The method of non-contact scanning of the pattern of blood vessels in the palm is based on reading in infrared ranges of emitting reflected from the surface of the hand.
Blood hemoglobin absorbs part of the infrared waves, therefore, emitting reflected from the veins of the palm is of lower intensity than from the rest of its surface. As a result, the unique pattern of the veins in the palm appears as a pattern of dark lines.
Reduced hemoglobin (oxyhemoglobin) absorbs radiation at various frequencies, ranging from the visible spectrum (510 nm) to infrared (1064 nm).
The best absorption is in the infrared range from 760 to 880 nm. When scanned through a camera, blood vessels appear darker than other areas of the palm because they absorb infrared better than other tissues.
The reader's algorithms compare the pattern with a template in the database and thus identify the person.
However, when scanning at the edge of the infrared spectrum (about 760 nm) the camera, in addition to the venous pattern, involuntarily captures some visible features of a palm — folds, cuts, scars. With these features, this method cannot be used for error-free and accurate identification. On the contrary, a vein pattern image with extra noise is made.
Blood hemoglobin absorbs part of the infrared waves, therefore, emitting reflected from the veins of the palm is of lower intensity than from the rest of its surface. As a result, the unique pattern of the veins in the palm appears as a pattern of dark lines.
Reduced hemoglobin (oxyhemoglobin) absorbs radiation at various frequencies, ranging from the visible spectrum (510 nm) to infrared (1064 nm).
The best absorption is in the infrared range from 760 to 880 nm. When scanned through a camera, blood vessels appear darker than other areas of the palm because they absorb infrared better than other tissues.
The reader's algorithms compare the pattern with a template in the database and thus identify the person.
However, when scanning at the edge of the infrared spectrum (about 760 nm) the camera, in addition to the venous pattern, involuntarily captures some visible features of a palm — folds, cuts, scars. With these features, this method cannot be used for error-free and accurate identification. On the contrary, a vein pattern image with extra noise is made.
Filtering similar noise in image processing is quite a difficult task and leads to errors when processing the original images and further identification.
We took this feature of the technology into account and solved this problem when developing our PALMJET reader.
It uses a multispectral scanning method in ranges of 850 and 940 nm. Numerous studies have shown that multispectral scanning allows capturing images of higher quality: the camera captures more unique features of the circulatory pattern of veins, such as thin capillaries. The amount of noise and interferences are reduced.
As a result, the quality and stability of biometric identification is increased significantly.
The maximum penetration depth of infrared emitting in multispectral range is 3-5 mm on average and is absolutely safe for human health.
Multispectral Palm Vein Scanner — our patented BIOSMART technology.
We took this feature of the technology into account and solved this problem when developing our PALMJET reader.
It uses a multispectral scanning method in ranges of 850 and 940 nm. Numerous studies have shown that multispectral scanning allows capturing images of higher quality: the camera captures more unique features of the circulatory pattern of veins, such as thin capillaries. The amount of noise and interferences are reduced.
As a result, the quality and stability of biometric identification is increased significantly.
The maximum penetration depth of infrared emitting in multispectral range is 3-5 mm on average and is absolutely safe for human health.
Multispectral Palm Vein Scanner — our patented BIOSMART technology.
Certificates
© 2020 BioSmart s.r.o.
biosmart-tech.com
sale@biosmart-tech.com
To learn more about Palm Jet and its capabilities in organizing security at your enterprise, ask our specialist for advice. Or you can download the presentation →
Get a consultation
Enter your details and we will contact you