Carrida Technologies GmbH
Booth number: SA-F13B
www.carrida-technologies.com
About us
CARRIDA Technologies GmbH is a leading provider of innovative Automatic Number Plate Recognition (ANPR) solutions, headquartered in Ettlingen, Germany. With extensive expertise in computer vision and deep learning, CARRIDA offers a range of high-performance products tailored for vehicle identification, traffic management, and access control applications.
Our Mission:
At CARRIDA, we are committed to delivering state-of-the-art ANPR technology that combines precision, reliability, and efficiency. Our solutions empower clients across various industries, including smart parking, toll collection, and law enforcement, ensuring seamless integration and superior performance.
Core Offerings:
• ANPR Cameras: Compact, stand-alone devices such as the CARRIDA Plate-i and Dragon+ cameras, featuring advanced recognition capabilities with over 99% accuracy.
• Software Solutions: Flexible SDKs and software engines designed for easy integration with existing systems, providing robust vehicle identification and make-and-model recognition.
• Comprehensive Support: From initial consultation and system setup to ongoing technical assistance, CARRIDA ensures a smooth implementation process tailored to client needs.
Why Choose CARRIDA?:
Our technology is engineered with precision, designed to excel under diverse environmental conditions and varying light levels. Clients benefit from unparalleled cost-efficiency, customizable configurations, and transparent licensing structures with no hidden fees.
Address
Ottostr. 2
76275 Ettlingen
Germany
E-mail: info@carrida-technologies.com
Phone: +49 7243 216729
Internet: www.carrida-technologies.com
ANPR/ALPR Software
Precise Recognition for Versatile Applications
The CARRIDA ANPR software is designed for high accuracy and flexibility, making it ideal for applications such as:
Traffic Management: Efficient monitoring and control of traffic
Access Control: Reliable and secure identification for access solutions
Parking Solutions: Automated management and ticketing systems
Easy Integration and Customization
Our ANPR software integrates seamlessly with existing systems and is compatible with various hardware setups. Its modular design allows for adaptation to specific requirements.
CARRIDA Dragon+ – High-Performance ANPR/ALPR Camera
Key Features:
High-Speed Recognition: Accurately reads license plates at vehicle speeds up to 300 km/h.
Comprehensive Vehicle Data: Captures vehicle type, make, model, and color.
Compact Design: Measuring just 91.5 x 62 mm, it integrates seamlessly into various systems.
Robust Construction: IP67-rated housing ensures durability in outdoor environments.
Standalone Operation: Onboard processing eliminates the need for external computing units.
Applications:
Traffic Management: Monitor and analyze high-speed traffic effectively.
Law Enforcement: Enhance vehicle identification and tracking capabilities.
Tolling Systems: Facilitate efficient and accurate toll collection.
Smart Cities: Integrate into urban infrastructure for improved traffic flow and safety.
CARRIDA Plate-i Family – Cost-Effective ANPR/ALPR Cameras
Key Features:
Affordable Entry Point: Starting at under €500, ideal for budget-conscious projects.
High Accuracy: Achieves over 99% recognition accuracy, even in challenging lighting conditions.
Standalone Operation: Onboard processing eliminates the need for external computing units.
Robust Design: IP66 and IK10-certified housing ensures durability in outdoor environments.
Easy Installation: Plug-and-play setup with Power over Ethernet (PoE) connectivity.
Models:
Plate-i Basic: Optimized for recognition distances up to 5.5 meters.
Plate-i Dome: Features an integrated zoom lens, allowing flexible recognition at distances up to 16 meters.
Applications:
Parking Management: Automate entry and exit processes in parking facilities.
Access Control: Enhance security with reliable vehicle identification.
Smart Home: Integrate into residential systems for automated gate control.
E-Mobility: Manage charging stations efficiently with vehicle recognition.
