Variante di test validità

Item successfully added to cart

Go to cart
Go back

Targa 760 Dual Lane ANPR-OCR Camera

J-T760N12B-M | SELEA
SELEA Targa 760 dual-lane camera with dual sensors and 10"32Vdc power supply. Integrated recognition of vehicle make and model only. 3.2Mpx OCR sensor with varifocal lens and 2Mpx Sony Night Vision context sensor with 12mm fixed lens, license plate accuracy up to 99.8%.
Please login to view price
Request information
Description
Request information

Description

The SELEA Targa 760 camera is designed for license plate reading on dual lanes up to 8m, powered by low voltage 10"32Vdc. The system combines a 3.2Mpx Global Shutter OCR sensor with a 12"40mm varifocal lens and a 2Mpx Sony Night Vision color sensor with a 12mm fixed lens for environmental context vision. The model integrates algorithms for the recognition of the vehicle's make and model only, offering high precision even in difficult environmental conditions or at night.

Main features
  • 10"32Vdc power supply
  • 3.2Mpx OCR sensor with 12"40mm varifocal lens
  • Sony Night Vision 2Mpx context sensor with 12mm fixed lens
  • Integrated recognition: Make and Model only
  • OCR accuracy up to 99.8%, Make/Model up to 95%
  • Reading on double lanes up to 8m, even with vehicles up to 200km/h
  • High-power IR illuminator with 12 LEDs
  • 16GB microSD memory expandable up to 256GB via USB
  • UNI 10772 Class A certification
  • IP67 and IK10 protection, operating temperature from "40°C to +65°C
  • ISDP 10003 and NDAA compliance

Request information

Need more details, want to order the product, or just ask us for advice?
I consent to the sending of newsletters, informational materials, and commercial communications regarding the Data Controller's services, as well as surveys on satisfaction with the quality of services, via email, post, and telephone.
I have read the information on data processing. *
In qualsiasi momento è possibile revocare tale consenso disiscrivendosi con le funzionalità indicate in tutte le email o inviando un email a: info@aikomtech.com The methods are described in the information visible at the following link.

Filters