Advanced Vehicle Detection System with Precision Sensors
Vehicle detection APIs are our computer vision models that allow software developers to integrate vehicle detection capabilities into their software applications (web or mobile). These vehicle detection APIs use computer vision technologies and deep learning to detect and track vehicles in images or videos. Overall, our vehicle detection APIs have a wide range of commercial applications across variety of industries, assisting businesses and organizations improve their efficiency, security and safety, and business processes.
Benefits Of Vehicle Detection
High Accuracy
Robust Performance
Low Cost API
Identifies variety of
number plates
Why Our Vehicle
Detection? ?
Our proprietary computer vision technology uses optical character recognition (OCR) algorithm on images taken by cameras to convert the plate number to the ASCII character set. Our AI technology helps to improve the accuracy with variety of license plates, its condition and environmental factors.
Data security first
We do not store customer Vehicle data and data is automatically deleted after processing.
Easy to integrate
Easily embed the Vehicle detection APIs into your app, and track usage of APIs.
Robust & Accurate
Our Vehicle detection APIs Delivers Top Performance and has ability to deliver benefits to both software companies and their customers.
What do API provide?
Type of Vehicle (Car, Bike, Bus,
Truck)
Confidence of detection
Bounding Box Coordinates of
detected Vehicles
Boolean State whether the
Number Plate is detected or not
Vehicle Detection Demo
Try Vehicle Detection now by uploading a local picture.
Please contact us for a demo
Contact Us
Click or drag Image to this area to upload
Support for a single Image upload. Only PNG,JPG, JPEG, BMP file accepted. Image resolutions up to 1920 x 1080.
Image Instructions
A common resolution range for vehicle detection is between 720p (1280x720) and 1080p (1920x1080).
Higher resolutions, such as 4K (3840x2160), can provide more detail but also require more processing power and storage
The images should capture the entire scene where vehicles are expected to appear. Wide-angle images might be necessary for larger areas.
Ensure the images are clear and well-lit. Blurry or poorly lit images can negatively affect the performance of the detection algorithm.
If using video for vehicle detection, a frame rate of 15-30 frames per second (fps) is typically sufficient for most applications
Vehicle Detection Demo
Result
You want Explore More just Tap on 'Try again' Button
Vehicle Detection API is useful to identify individuals and groups
Traffic
Management
and Monitoring
Vehicle detection APIs can be used in traffic management systems to monitor traffic, detect congestion, and analyze traffic conditions. For example, these APIs can identify vehicles in traffic camera images and provide real-time information to update road signs or report accidents or road closures to authorities.
Parking
Management
Vehicle detection APIs can be integrated into parking management systems to track parking spaces and provide information about available parking spaces. These APIs can help improve parking operations and improve the parking experience for users by identifying vehicles entering and exiting the parking lot.
Security and
Surveillance
Vehicle detection APIs can be used in security and surveillance systems to detect unauthorized vehicles entering restricted areas or to monitor vehicle traffic in low-security areas such as airports, ports, or military installations.
Smart
Cities
In smart cities, vehicle identification API can be used to collect data on vehicle behavior, parking usage, and emissions. This information can then be used to improve city infrastructure, improve public transport, and reduce traffic congestion and pollution.
Autonomous
Vehicles
Vehicle detection APIs are a key part of autonomous driving technology, allowing autonomous vehicles to detect and track other vehicles, pedestrians, and obstacles around them. These APIs allow autonomous vehicles to make real-time decisions and navigate traffic.
Retail
Analytics
In a retail location, vehicle tracking APIs can be used to track customer vehicles in the parking lot and analyze traffic patterns to adjust parking spaces, improve customer service, and improve overall store operations.
Fleet
Management
Vehicle tracking APIs can be integrated into fleet management systems to track vehicle location and timing, monitor driver behavior, and coordinate schedules and routes.
Insurance and
Claims
Processing
Vehicle detection APIs can help insurance companies process claims by providing real-time evidence of accidents or damages. These APIs can analyze crash images or videos to determine the extent of damage and determine liability.
TESTIMONIAL
Join our Community of Satisfied customers
MxFace AI uses pattern detection technology and no images and personal information is stored. The only data that is stored is of anonymous, aggregate and statistical nature. Therefore, companies trust us as their partner
WaterHealth International
Mr. Sanshuman
"MXface's Face Recognition API has completely transformed the way we manage access control at our office. It's incredibly fast, accurate, and user-friendly. We can now easily monitor and secure our premises, thanks to MXface!"
K Techno
Mr.Abhishek Pareek
"As a developer, I've worked with several face recognition APIs, and MXface is by far the best. Its seamless integration capabilities, comprehensive documentation, and superb accuracy make it an essential tool for any facial recognition project."
Capecookies
Mr Josh
"MXface's Face Recognition API is a game-changer for our retail business. It has enhanced our customer experience by enabling personalized services and streamlined checkout processes. The accuracy of MXface's technology is truly impressive."
Cavis Infotech Private
Limited Ms.Priti
"Our security team was looking for a reliable face recognition API to bolster our surveillance systems, and we found the perfect solution in MXface. It's not only dependable but also cost-effective. Highly recommended!"
Ubiquity
Alvaro Hernandez
"MXface's Face Recognition API has made event registration and access management a breeze for our organization. The ease of integration and top-notch support from their team have made our events more secure and efficient."
eSwiftSoftware
Farooq Ahmed
"MXface has truly set the bar high in the field of face recognition technology. Their API is incredibly robust, offering real-time recognition capabilities that have improved the security of our premises. It's a game-changer for sure!"
Map my India
Mr Kalaivanan
"MXface's Face Recognition API has revolutionized how we authenticate users for our mobile app. It's impressively fast and accurate, delivering a seamless experience for our customers."
Minop Cloud
"Utilizing Mxface Face API in Minop's mobile attendance app has been a game-changer. The precision and speed of Mxface have elevated our app's performance, ensuring reliable attendance tracking. Its seamless integration and accuracy have simplified our processes, providing a secure and efficient solution. "
Mageid
"The exceptional accuracy and reliability of Mxface face recognition API enhance our identity verification processes, ensuring a secure and streamlined user experience.The seamless integration and robust performance of Mxface make it an invaluable asset for MageID"
