Challenge
Still relying on metal detectors and 40+ feeds manually?
- 1.7 seconds from threat detected to alert sent.
- 97.3% detection accuracy. 0.08% false positive rate.
- Zero hardware replacement required.
This is the Weapon Detection System.
The Problem:
Traditional security fails at scale:
- Metal detectors: Bypassable, slow, create bottlenecks
- Human monitoring: Can't watch 40+ feeds simultaneously
- Manual response: Recognition delay = action delay
- Infrastructure replacement: Prohibitively expensive
Threats don't wait for humans to notice.
Still relying on metal detectors and 40+ feeds manually?
- 1.7 seconds from threat detected to alert sent.
- 97.3% detection accuracy. 0.08% false positive rate.
- Zero hardware replacement required.
This is the Weapon Detection System.
The Problem:
Traditional security fails at scale:
- Metal detectors: Bypassable, slow, create bottlenecks
- Human monitoring: Can't watch 40+ feeds simultaneously
- Manual response: Recognition delay = action delay
- Infrastructure replacement: Prohibitively expensive
Threats don't wait for humans to notice.
Solution
Our Solution:
AI-powered weapon detection that turns existing cameras into intelligent guardians.
Core Technology:
- Real-Time Detection – YOLO + SSD + Faster R-CNN analyzing every frame simultaneously. High-Precision AI – Trained on 2.4M+ images across varied lighting,
- Seamless Integration – Works with existing CCTV via RTSP streams.
- Encrypted Alerts – Instant mobile notifications with threat snapshot, location, confidence score, visual highlighting.
- Ultra-Low Latency – FFmpeg + C++ optimization. 1.7-second average from capture to alert.
- Enterprise Scale – PostgreSQL/MySQL backend. IoT relay integration. Scales 10–500+ cameras seamlessly.
- Tech Stack: PyTorch | TensorFlow | YOLO/SSD/Faster R-CNN | Python/C++ | OpenCV | FFmpeg | RTSP
Our Solution:
AI-powered weapon detection that turns existing cameras into intelligent guardians.
Core Technology:
- Real-Time Detection – YOLO + SSD + Faster R-CNN analyzing every frame simultaneously. High-Precision AI – Trained on 2.4M+ images across varied lighting,
- Seamless Integration – Works with existing CCTV via RTSP streams.
- Encrypted Alerts – Instant mobile notifications with threat snapshot, location, confidence score, visual highlighting.
- Ultra-Low Latency – FFmpeg + C++ optimization. 1.7-second average from capture to alert.
- Enterprise Scale – PostgreSQL/MySQL backend. IoT relay integration. Scales 10–500+ cameras seamlessly.
- Tech Stack: PyTorch | TensorFlow | YOLO/SSD/Faster R-CNN | Python/C++ | OpenCV | FFmpeg | RTSP
Results
Real-World Performance:
47 Deployments: Schools | Corporate campuses | Government facilities | Healthcare centers | Public venues
Want to turn your existing cameras into intelligent threat detection ?
Deployed in hours. Protecting in seconds.
Reach out. Let us build a system that is awake so you don't have to.
InvoZone – We build security that sees what humans miss.
Real-World Performance:
47 Deployments: Schools | Corporate campuses | Government facilities | Healthcare centers | Public venues
Want to turn your existing cameras into intelligent threat detection ?
Deployed in hours. Protecting in seconds.
Reach out. Let us build a system that is awake so you don't have to.
InvoZone – We build security that sees what humans miss.