DASCAM
A Secure, Intelligent
Edge-based Video
Surveillance Platform
Features
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Edge computing architecture to reduce latency and bandwidth consumption
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Deep Learning-based video analytics
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Data security with End-to-End Encryption & AES-256
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Dynamic visual reporting with chart and histogram
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Seamlessly integrated with +5500 models of IP cameras from 100 manufacturers
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Smart forensic search in video footage
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Edge recording and video trick modes
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Built-in fail-over and redundancy mechanisms to protect against hardware failure
Hardware Products
DASCAM AI Series
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Edge computing architecture to reduce latency and bandwidth consumption
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Deep Learning-based video analytics
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Data security with End-to-End Encryption & AES-256
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Edge recording and video trick modes
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Smart forensic search in video footage
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Seamlessly integrated with +5500 models of IP cameras from 100 manufacturers
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Dynamic visual reporting with charts and histograms
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Built-in failover and redundancy mechanisms to protect against hardware failure
DASCAM P Series
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Fanless slim system, wall mount design
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1-16 IP cameras supported
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2 x LAN port embedded
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Linux OS with BSP (board support package)
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End-to-end Encryption, AES-256 Encryption
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Wide-operating temperature range
Software Systems
& Service
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DASCAM Video Management Software
A powerful, reliable, and scalable video management software that gives the users a clear picture of events and empowers them to quickly react to threats
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DASCAM Central Management System
Managing a large-scale surveillance system is easy with DASCAM CMS. The features include remote device setup
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DASCAM Intelligent Video Analytics
A range of deep learning-based applications that turn the raw video data into actionable insights, and thus facilitating the customers to gain greater control over their system.
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DASCAM Cloud Storage
Storing surveillance footage in the cloud to ensure that the footage is still safe even when the local equipment is either damaged or storage.
AI Platform
We believe that Deep learning is the best way to turn the raw video data into actionable insights, and GPU-based inference is the only way to do it in real time. From a single-purpose solution at one location to a suite of services across thousands of endpoints, we provide custom models that make computer vision a reality that drives higher accuracy and better efficiency.
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Feature-Rick ALPR
Get license plate, vehicle make, model, color. This technology can be incorporated in rule-enforcing cameras on the road, electronic toll collection, or other law enforcement purposes such as criminal investigations.
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People Counting
Detect human and count them as they are detected. This allows decision makers to determine trends in trail and facility usage. Insights can be used to inform planning and maintenance practice.
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Face recognition
Search for a face in a dense stream of people. This helps to identify people who represent a threat to security, quickly learn about a visit of VIP clients and take necessary actions in time depending on a registered event.
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Virtual line crossing detection
Is triggered when a moving object crosses the virtual line in the user-specified direction. This application is ideal for intruder detection on fenced areas, alert monitoring at the entrance, and/or detection of illegal crossing of railway.
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Traffic Analysis and Safety
Detect the numbers on a license plate caught speeding, running a light. The data collected through traffic analytics also helps road planning and traffic counting.
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Theft Detection
Detect suspicious behavior such as loitering or accessing areas which are off limits using computer vision algorithms which are autonomously analyzing the scene.
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Human Pose Estimation
Infer the pose of a person by localizing certain key points on a body within an image. The applications of human pose estimation include fall detection, gait analysis and motion capture.
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Abandoned object detection
Detect an object that has been left unattended for some time. This looks for objects that are not part of the normal scene.
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Customer Tracking
Gather data through machine learning processes about where customers spend their time. This gives a better understanding of consumer interaction, and thus improving layout optimization.
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Queue Management
Track individual customers until they checkout, identifying their wait time as well as the size of the queue at any given time. This helps improve retail performance analytics, employee shift scheduling and customer experience.
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Entry zone detection
Detect a person or vehicle entering or existing virtual user-specified areas. This helps to detect intruders in restricted and/or secure zones in banks, stores, plant.
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