What we offer
Hikvision's DeepinMind AcuSeek Network Video Recorder (NVR) iDS-9632NXI-M8/X features high-performing graphics processing units (GPUs) and smart deep-learning technology that analyzes video and imagery to help users make informed decisions.
With up to 90 percent accuracy in false alarm reduction and intelligent facial recognition technology, human intervention can be reduced to the bare minimum. And it's evolving. As its training data increases, the AcuSeek NVR evolves and performs with improved accuracy.
Depending on the application, users can choose a single purpose NVR for perimeter protection or facial recognition scenarios .
Perimeter protection NVRs feature smart analysis (line crossing/intrusion detection), false alarm reduction, and quick target search capabilities. Facial recognition NVRs play a key role in advanced biometric solutions with high recognition accuracy. The 9600 series, Hikvision's most advanced model to date, offers all above features with much higher capacities.
Based on a Large Multimodal Model (LMM), images and their corresponding natural language descriptions are mapped to a shared high-dimensional vector space. This enables versatile functionalities, such as open-ended text-to-image search, image-to-image search, and alarm triggering based on the presence of persons, vehicles, objects, events, or locations.
Massive image-text pairs
"Dog in the snow"
Image Features: Outline, Texture, Color...(Unstructured characteristics)
Image Encoder
Text Encoder
Text Features: Word Frequency, Order, Grammar.-(statistical characteristics)
AcuSeek: A man in a black top, white pants, and glasses is walking his dog.
Training
Massive image-text pairs
"Dog in the snow"
Image Features: Outline, Texture, Color... (Unstructured characteristics)
Image Encoder
Text Encoder
Text Features: Word Frequency, Order, Grammar... (statistical characteristics)
Large Multimodal Model
AcuSeek:
A man in a black top, white pants, and glasses is walking his dog.
Based on a Large Multimodal Model (LLM), images and their corresponding natural language descriptions are mapped to a shared high-dimensional vector space. This enables versatile functionalities, such as open-ended text-to-image search, image-to-image search, and alarm triggering based on the presence of persons, vehicles, objects, events, or locations.
Training
AcuSeek NVR supports natural-language-based video/image retrieval applications, allowing second-level retrieval on target images by inputting phrases or words.
Bridging text queries and visual matching
Step 1:
AcuSeek identifies objects associated with a specific feature (e.g., an Audi car) or another object (e.g., a black backpack) by analyzing video footage and user-defined criteria such as time and location.
Step 2:
AcuSearch then pinpoints a specific object (e.g., a grey Audi SUV) across all scenes, providing a timeline of its appearances and related footage for further check.
Describe by text
Retrieved objects
Click AcuSearch to view
Step 1: AcuSeek identifies objects associated with a specific feature (e.g., an Audi car) or another object (e.g., a black backpack) by analyzing video footage and user-defined criteria such as time and location.
Step 2: AcuSearch then pinpoints a specific object (e.g., a grey Audi SUV) across all scenes, providing a timeline of its appearances and related footage for further check.
Scenarios where AcuSeek makes a difference
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