Real-time classification can support rapid threat detection.
On-device compression can reduce storage and bandwidth costs.
Local processing can enhance data security and privacy.
Ultra-low-power analytics can support remote, battery-operated systems.
Image & Video Processing: Efficient, Intelligent, and Secure
In an era where vast amounts of visual data are generated every second, efficient image and video processing is essential. Whether for security, automated classification, or optimising data storage, real-time, edge-based processing delivers unmatched speed, security, and efficiency.
Traditional image and video processing relies heavily on cloud infrastructure, requiring constant high-bandwidth connectivity and leading to delays, high costs, and security risks. By moving processing to the edge, SmallSpark enables ultra-fast, low-power classification and compression, unlocking real-time insights while reducing operational overheads.
🔹 Real-Time Classification & Analysis – Identify threats, objects, or patterns instantly with >90% lower latency compared to cloud solutions.
🔹 Reduced Data Transfer & Storage Costs – Intelligent on-device compression minimises the need for expensive cloud storage and reduces bandwidth usage by up to 75%.
🔹 Enhanced Security & Privacy – Processing images and videos locally ensures real-time encryption, minimising the risk of data breaches and unauthorised access.
🔹 Low Power Consumption – SmallSpark’s ultra-low-power processing makes video analytics feasible for battery-powered security systems and remote monitoring solutions.
✅ Security & Surveillance
✅ Data Centre Efficiency & Video Compression
✅ Autonomous Systems & Industrial Applications
By leveraging edge-based image and video processing, SmallSpark empowers businesses with faster insights, greater efficiency, and reduced operational costs—all while ensuring maximum security and sustainability.