OEM Edge AI Camera Manufacturer for Intelligent Surveillance
The global edge AI market in video surveillance is projected to reach USD 14.8 billion by 2028. Adiance manufactures white-label edge AI cameras powered by Qualcomm SoC with on-device analytics for ANPR, facial recognition, crowd counting, and intrusion detection — all processed at the edge without cloud dependency.
Request a QuoteIntelligence at the Edge — Your Brand, Our Technology
Adiance manufactures Edge AI cameras with Qualcomm and Ambarella SoC enabling face recognition, object detection, crowd analysis, and behavioral analytics — all processed on-device. Our OEM/ODM cameras power leading surveillance brands across many countries.
Key Capabilities
On-Device AI Processing
Full neural network inference at the camera — no cloud required, sub-100ms response time.
Face & Object Recognition
Detect faces, vehicles, and objects with 95%+ accuracy using deep learning models.
Video Analytics Built-in
Crowd counting, loitering detection, perimeter breach, and heat map generation built in.
Qualcomm & Ambarella SoC
Best-in-class edge AI chipsets for maximum performance and minimum power consumption.
Full OEM/ODM Ready
White-label with custom AI models, firmware, app, and branding for your surveillance brand.
Cybersecurity Hardened
TPM chip, encrypted storage, secure boot, and NDAA-compliant supply chain.
Built-In Edge AI Capabilities
ANPR / LPR
Automatic number plate recognition with 99.5%+ accuracy at speeds up to 200 km/h. Multi-country plate format support for toll roads, parking, access control, and law enforcement applications.
Facial Recognition
Real-time face detection and recognition with database matching for access control, VIP identification, and security screening. On-device processing ensures data privacy and GDPR compliance.
Crowd Analytics
Real-time people counting, density estimation, and flow analysis. Ideal for retail footfall analytics, event management, transportation hubs, and smart city public safety monitoring.
Intrusion Detection
AI-powered perimeter protection with virtual tripwire, zone intrusion, and loitering detection. Dramatically reduces false alarms compared to traditional motion detection through intelligent object classification.
Heat Mapping
Visual heat maps showing movement patterns and dwell time analysis. Essential for retail store optimization, museum exhibit planning, and understanding pedestrian flow in public spaces.
Object Classification
Distinguish between people, vehicles, animals, and objects in real-time. Enables context-aware alerts and reduces false alarms by up to 95% compared to pixel-based motion detection.
Why Partners Choose Adiance for Edge AI
From Qualcomm-powered processing to complete white-label ecosystems, Adiance delivers the most comprehensive edge AI camera manufacturing solution.
All S-Series edge AI cameras are powered by Qualcomm processors, delivering industry-leading AI inference performance with low power consumption. Non-restricted, NDAA compliant, and future-proof with regular firmware updates.
The entire ecosystem — camera hardware, AI firmware, Cloud VMS, mobile app, and packaging — can be manufactured and branded under your identity. Your customers experience only your brand throughout.
Beyond standard analytics, we support custom AI model training and deployment for partner-specific use cases. Industry-specific object detection, behavior analytics, and specialized recognition tasks optimized for edge inference.
Manufactured in India with non-restricted components. STQC certified, CE marked, FCC compliant, and ONVIF compatible. Suitable for government, defense, and critical infrastructure deployments worldwide.
STQC-certified Cloud VMS with built-in AI event management, real-time alerts, forensic search, and multi-site management. White-label ready with your branding, domain, and customized dashboard.
iOS and Android mobile app with live view, AI event alerts, playback, and remote management. Fully white-labeled with your app name, icon, and branding on App Store and Google Play.
Edge AI vs. Cloud AI: Why Edge Wins
| Parameter | Edge AI (Adiance S-Series) | Cloud-Based AI |
|---|---|---|
| Processing Location | On the camera device | Remote server / cloud |
| Latency | <100ms (real-time) | 500ms - 5s (network dependent) |
| Bandwidth Usage | Minimal (metadata only) | High (full video stream) |
| Data Privacy | Video never leaves device | Video transmitted to cloud |
| Network Dependency | Works offline | Requires constant connectivity |
| Scalability Cost | No per-camera cloud fees | Increasing cloud compute costs |
| GDPR Compliance | Inherently compliant | Requires additional measures |
| Reliability | Independent operation | Single point of failure (network) |
Edge AI Camera Product Range
S-Series AI Bullet
Premium edge AI bullet camera for outdoor surveillance with full on-device analytics suite.
- 2MP / 4MP / 8MP
- Qualcomm SoC
- ANPR + Face + Crowd
- IP67 Weatherproof
- IR up to 50m
- -30°C to 60°C
S-Series AI Dome
Vandal-resistant edge AI dome camera for indoor and semi-outdoor deployments.
- 2MP / 4MP / 8MP
- Qualcomm SoC
- Full analytics suite
- IK10 Vandal-proof
- IR up to 30m
- Wide-angle lens
S-Series AI PTZ
High-speed PTZ with edge AI for auto-tracking, wide-area surveillance, and smart city deployments.
- 2MP / 4MP
- Qualcomm SoC
- Auto-tracking AI
- 30x Optical Zoom
- IR up to 150m
- 360° continuous
Our Clients
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Frequently Asked Questions
What is an edge AI camera?
An edge AI camera processes artificial intelligence analytics directly on the camera device itself, rather than sending video to a remote server or cloud for processing. This enables real-time decision making with ultra-low latency, reduced bandwidth usage, enhanced data privacy, and reliable operation even without network connectivity.