
AI Bridge Gen3 analyzes existing CCTV and sensor inputs with on-device Edge VLM. Beyond simple detection, it comprehends the context of situations and verifies all alarms directly at the edge, requiring no cloud connection or server.
Context, accuracy, multi-device support, and security — delivered on the device itself
Beyond merely detecting shapes, it interprets the relationships and situations between objects within the device, understanding "what is happening" and verifying alerts locally.
By understanding context, simultaneously reduces both missed detections and false alarms. It enhances object recognition precision and incorporates situational analysis for more accurate judgement.
Processes 8- and 16-channel feeds on one device and operates multiple devices simultaneously. Over 60 Edge VLM apps can be customized for site-specific needs.
Verification is performed within the device without uploading the original video. It operates even if the network is disconnected, and its fanless design and compliance with NDAA (Sec. 889) ensure safe adoption.
Receives IP cameras, sensors, audio, and alarms, and transmits analysis results via the EdgeDX platform or standard protocols such as HTTP, TCP, MQTT, SMTP, and FTP. Choose between the 8-channel AIB-TS3-08 (supports 16-channel expansion mode) and the 16-channel AIB-TS3-16 according to your site scale.

The video stays on-site, with AI Bridge Gen3 handling everything from detection to verification
Real-time collection of on-site CCTV and sensor inputs
Precise detection and classification of objects
Interpretation of context and situations within the device
Determines alarm conditions based on policies and rules
Only verified alarms are sent
All processing is done internally within AI Bridge Gen3 no cloud is required.
Complete on-device processing of context verification beyond object detection
Reduces unnecessary alarms caused solely by shapes by understanding the surrounding context.
Analyzes the flow of complex behaviors over time.
Understands the situational and attribute-based meanings of objects.
Utilizes built-in visual knowledge to quickly develop and adapt video analysis apps tailored to new //requirements.
It operates reliably even in harsh conditions thanks to its fanless design, and is widely applicable across various fields including security, safety, retail, and transportation.
Verifies intrusion, loitering, and abnormal behavior including context to achieve false alarm-free surveillance.
Detects falls, missing protective gear, and access to hazardous areas in real time.
Optimizes store operations through behavior sequence, congestion, and age group analysis.
Analyzes wrong-way driving, stopping, pedestrians, and queues directly on the road site.
We offer proposals tailored to your site configuration and number of channels.
Leave an inquiry, and our representative will guide you with a demo.