| Allicdata Part #: | 296-21327-3-ND |
| Manufacturer Part#: |
BQ2022ALPR |
| Price: | $ 0.26 |
| Product Category: | Integrated Circuits (ICs) |
| Manufacturer: | Texas Instruments |
| Short Description: | IC EPROM 1K SINGLE WIRE TO92-3 |
| More Detail: | EPROM - OTP Memory IC 1Kb (256b x 4 pages) Single ... |
| DataSheet: | BQ2022ALPR Datasheet/PDF |
| Quantity: | 1000 |
| 1 +: | $ 0.26000 |
| 10 +: | $ 0.25220 |
| 100 +: | $ 0.24700 |
| 1000 +: | $ 0.24180 |
| 10000 +: | $ 0.23400 |
| Series: | -- |
| Packaging: | Tape & Box (TB) |
| Part Status: | Active |
| Memory Type: | Non-Volatile |
| Memory Format: | EPROM |
| Technology: | EPROM - OTP |
| Memory Size: | 1Kb (256b x 4 pages) |
| Write Cycle Time - Word, Page: | -- |
| Memory Interface: | Single Wire |
| Voltage - Supply: | 2.65 V ~ 5.5 V |
| Operating Temperature: | 0°C ~ 70°C (TA) |
| Mounting Type: | Through Hole |
| Package / Case: | TO-226-3, TO-92-3 (TO-226AA) (Formed Leads) |
| Supplier Device Package: | TO-92-3 |
| Base Part Number: | BQ2022 |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
Automatic License Plate Recognition systems, commonly abbreviated to ALPR, have been gaining popularity in the last decade. The BQ2022ALPR is a particularly effective ALPR system composed of multiple components, including a digital camera, an infrared illuminator, and specialized software. Although its components are all simple, the product as a whole, is capable of producing powerful results.
At its most basic level, the BQ2022ALPR application uses optical technology for identifying vehicle license plates, almost instantly recognizing license plates from a wide variety of angles, including front and rear angles. Additionally, the unit is able to read and distinguish between different countries\' license plates. Regularly, the license plates will be instantly recognized, even during poor visibility conditions, such as night time or foggy days. This means that, with the BQ2022ALPR, you can keep track of vehicles, verify vehicle information, and record visitor information with ease.
The memory component of the BQ2022ALPR is, in essence, how it stores the information it collects when license plates are scanned and identified. Utilizing the internal memory system, it can store records, license plate numbers and associated data for as long as needed, allowing for later retrieval and analysis. Furthermore, the BQ2022ALPR allows for the integration of a USB connection and/or an Ethernet connection to allow for increased storage space and remote control of the product.
The working principle behind the BQ2022ALPR is that of optical character recognition. This means that the unit will use an intelligent algorithm to convert the scanned image of the license plate into a text version. This process is achieved by isolating the characters of the license plate and then converting them into a format which is then comparable to a computer database. This is done by using a neural network, artificial intelligence and pattern recognition software.
Once the characters are recognized, the BQ2022ALPR application uses this data to compare it against internal and external databases. This helps in determining if the license plate is registered or not, or to retrieve additional information about the vehicle or its owner. This allows for the BQ2022ALPR to keep a watchful eye on the vehicular activity in an area and notify authorities if the vehicle in question is breaching permit laws or road safety laws.
The BQ2022ALPR is a powerful tool in the fight against vehicular crimes, from road safety laws to vehicle fraud. It has multiple associated benefits including improved road safety, quicker response times and better overall public security. The component-based nature of the BQ2022ALPR makes it an ideal solution for a wide variety of applications. The memory component allows for the product to store records and its associated data, while the optical recognition software allows for the efficient and accurate recognition of license plates.
The specific data is subject to PDF, and the above content is for reference
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BQ2022ALPR Datasheet/PDF