LILIN has actively devoted to the AI video analytics market in recent years.
In addition, LILIN’s independent research and development capabilities focusing more on AI solutions using deep learning technology, strengthening network security management capabilities, and creating high-level AI smart application solutions.
The recognition rate can be as high as 99.6%: At high speeds and multiple lanes
Support multi-lane recognition: The license plate width must be greater than 100 pixels
Supports camera ultra-inclined installation angles: Depression angles up to 30 degrees downwards, up to 30 degrees left and right
Exclusive patent-license plate background filtering
AI video recognition of multiple objects:Including pedestrians, bicycles, cars, motorcycles, buses, trucks, container trucks, and VAN
Statistical charts: Provide real-time traffic vehicle route and violation statistics charts to effectively manage urban traffic
Alert notification: Detect queued vehicles and issue alert notifications when traffic is congested
Accurate detection: Integrate AI vehicle detection system including tripwire and detection zone to accurately detect parking violations
Trigger by vehicle type: It can trigger the parking violation alarm according to the vehicle type within the settings of restricted zone and dwell time
Effective detection: Detect the license of the parking violations with snapshots and video support
Accurate detection: It can detect traffic violations after being triggered by the vehicle type and the traffic light signal, such as running a red light, turning right at a red light, wrong-way driving, u-turn, and turn left
Violation detection: No u-turn and left turning violation detection
Violation detection of specific vehicle types: Warning trucks or trucks to enter the city center illegally
Real-time analysis: The number of parking spaces in the parking lot
Recognition by vehicle type: It can be recognized by vehicle type and count the parking space
Recognition area setting: support rectangle and four corners to move arbitrarily to circle the recognition area
Types of object counting: Object counting for vehicles and pedestrians
Traffic flow statistics: Traffic flow statistics are used for traffic flow control
Independent counting: One channel can support four detection zones to count in and out for different objects
Detect zone setting: Support rectangle and four corners adjustable zones
Cross-channel counting: Support 64 groups of cross-channel counting for objects and behaviors
Automated detection: through AI video analytics, an alarm notification is issued for people who are not wearing masks at entrances and exits
One-stop management: NAV real-time images integrate AI masks, face detection, capture alarm screens and trigger pre-recorded warning voices, etc.,
Support multiple functions: Including video playback, event search and video screenshots
AI Detection：Use Aida technology for calculating people density.
Global Counters：Support global counters for counting people in a zone. There are four zones available of a camera for counting density.
Alarm notification：Alarm notification if a zone exceeds its density threshold.
