The bottom layer of this application service solution is a front-end imaging device, including fixed-point, mobile and wearable devices. The collected image data is integrated and returned through the Video Gateway, and the image information will be sent to smart image analysis. Service platforms, such as CCTV information, wearable positioning information, device monitoring images, etc.; and the front-end integrated service platform can combine geographical maps to present relevant data in a graphical manner. In addition to monitoring different areas through electronic maps In addition to the status, the system can also be linked to the scheduling function to achieve abnormal alarm detection and automatic operation of equipment.
After the image big data collected daily by the system is stored in the cloud database, it is calculated and processed by the big data analysis module. It can be applied to the categories of people, vehicles, and objects respectively. The information generated is based on the functions of each subsystem. It is provided to back-end users for query and application, and related operations are performed through the service platform. For example, the human part can be applied to public security, security access control, or population assistance. People flow analysis data can provide transfer stations or department stores as a basis for manpower deployment. People loitering detection data can provide security personnel with information on people staying in specific areas. Warning reminders that exceed the preset time; for vehicles, vehicle image data can be used to provide transfer stations with the ability to identify vehicles entering and exiting the platform, and determine whether there is a vehicle jam. License plate recognition provides police units with the ability to detect stolen goods. vehicles or vehicles involved in the case; as for the items, CCTV images are used to determine whether a long-term detention event has occurred, and a warning is issued for security personnel to handle to ensure the safety of people’s lives.

Uses AI algorithms and other technologies for rapid cross-comparison and analysis applications to enhance the efficiency of public safety monitoring at customer sites.
Problems encountered by customers
The amount of image analysis data is huge
- The number of cameras increases year by year.
- The amount of image data is huge and complex.
- Difficult to track purely manually.
Image review and analysis takes too long
- Compare with naked eyes in manual 1:1 time.
- It takes time and effort.
- Missing critical moments.
Multiple variations of surveillance video devices
- Camera brands have different specifications.
- Image quality varies.
- Concatenating images is not easy.
External factors make image recognition difficult
- Light and weather affect image recognition.
- Artificially caused image recognition failure.
- Dirty lenses make identification difficult.
Comparison of AI image analysis with traditional imaging applications
traditional imaging applications VS Comparison of AI image analysis
| traditional | artificial intelligence | |
|---|---|---|
| Analysis time | to be carried out in a 1:1 time ratio | parallel image processing speed increased by more than 10 times |
| Comparison performance | artificial visual judgment comparison | intelligent imaging technology cross-comparison |
| Scope of application | fixed area video surveillance | with mobile device intelligent processing |
| Image quality | external factors affect identification and interpretation | image AI algorithm optimization to eliminate noise |
| Equipment specifications | It is difficult to obtain data depending on the brand | intelligent integration of image equipment |
SYSCOM artificial intelligence image analysis expert platform
Services provided
SYSCOM’s experience in system integration, and providing customers with Total services is our specialty.
Introduction to standard functions
VIAMaster sample film
Site safety monitoring
Wandering detection
Instant detection and notification of beverage spillage



