Products

Description

As high-end, multi-functional AI cameras, the Z7 Series represents the pinnacle of LILIN's AI product line in terms of performance. They support a broad range of AI modules and can perform image recognition and event processing directly at the edge, eliminating the need for additional AI processing units or PC intermediaries. This ensures a streamlined and efficient edge computing architecture.

With comprehensive hardware and software I/O interfaces, the Z7 Series facilitates seamless integration with various peripheral devices or backend systems, including digital I/O ports and C# and Python libraries. The inclusion of a zoom lens adds to its flexibility, making these cameras suitable for a wide range of surveillance applications.

Equipped with various trained models, the Z7 Series offers extensive recognition capabilities, including personnel, vehicles, objects, ships, animals, smoke, and flames. These advanced features make the Z7 Series particularly effective in intelligent monitoring, automation management, and security protection, making it ideal for applications requiring advanced recognition and comprehensive surveillance.

• 7 Series AI Edge Camera Features
• EDGEFLOW Perimeter Person, Vehicle and Object Detection
  Suitable for outdoor security with virtual fence protection, which can accurately trigger events when objects invade a restricted area. Meanwhile, it supports four groups of detection areas or detection lines that can set the direction. Different trigger event outputs can be set for distinct detection areas and lines with AI recognition function. Moreover, it can filter out invalid objects and greatly reduce the false alarm rate.
• EDGEMASK Face Mask Detection
  It can detect whether a face mask is properly worn, and can be used in hospitals, schools, offices, and public places. You just need to set up detection areas at each entrance and exit to monitor and find out whether someone is wearing a mask or failing to wear a mask, and trigger alarm notifications.
• EDGECAP Person and Vehicle Counting
  The number of people and vehicles in the detection area can be counted and managed. If counts are sent to the back-end host for storage purposes, the counts can be reset according to predefined settings.
• EDGESAFETY Helmet and Safety Vest Detection
  Used to detect whether staff are indeed wearing helmets and safety vests in the work area, to ensure workplace safety. If a helmet or safety vest is not worn, alarms can be sent to the back-end host for taking measures and storage.
• EDGEFIRE Black Smoke Detection
  Used to detect heavy smoke and fire, and then immediately trigger an alarm notifying the back-end host to take firefighting measures. So, it works as an assistant to the existing firefighting equipment in the detection area.
• EDGELPR License Plate Recognition
  Supports the identification of vehicle license plates at speeds of up to 100 kilometers per hour, and allows setting allowed and denied lists. License plate filtering for billing and visitor lists, license plate screenshots, and record events for third-party device integration, according to the license plate list. When the license plate is recognized, corresponding alarm outputs such as allowed list to open the gate, or denied list to send an alarm, are triggered.
• EDGECARMAKE Traffic Enforcement
  It can detect vehicles passing through the detection area, and vehicles illegally parked in the detection area. At the same time, it also can identify the vehicle license plate, vehicle brand, and type, and provide screenshots of illegal actions and video evidence for effectively carrying out smart technology law enforcement.
• EDGEVESSEL Vessel Detection
  For monitoring of port areas, and detecting the entry and exit of vessels in important port routes. To better monitor the movement of vessels, this solution can be used with the S7 series, the high-speed dome camera for AI which automatically tracks and monitors the path of vessels to ensure the safety of shipping in the port area.
• EDGEANIMAL Animal Detection
  Used for real-time monitoring of designated areas, detecting intruding animals, and triggering alarms. The back-end host will take measures to notify personnel about the intrusion.