Neuron Network- Surveillance Camera
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
Neuron Cyber Security, a Georgia-based AI-driven surveillance solutions provider, engaged Oodles to enhance video quality from real-time and recorded camera feeds. The client aimed to improve visual clarity using existing neural network code while requiring a scalable backend and intuitive user interface to streamline operations and accelerate deployment.
Scope Of Work
The client needed a robust solution with Oodles to refine surveillance footage using AI while simplifying operator workflows. Core objectives included optimizing the neural network, integrating real-time video processing, and developing a user-centric GUI. The project spanned AI model enhancement, backend scalability, interface design, and system automation.
Our Solution
To fulfill the client's vision, Oodles re-engineered the existing neural network to improve clarity, reduce video noise, and enhance low-light visuals.
Key features include:
- AI Model Enhancement: Refined the neural network for better denoising, stabilization, and edge detection.
- Real-Time Processing Engine: Built for continuous video stream input with efficient frame-by-frame analysis.
- Custom GUI Interface: Delivered an intuitive dashboard for simplified control over enhancements and file management.
- Modular Architecture: Designed the backend for scalability, allowing future AI model integrations.
- GPU-Accelerated Performance: Integrated NVIDIA GPU support to optimize video rendering and inference speeds.
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