For teams starting on Video Analytics, For organizations looking to scale and expand in growth and want to enhance operational efficiencies, For organizations that have unique needs that they want to fulfil through custom solutions.
Primary Deployment Considerations
Hardware and Cameras
To facilitate video processing using video analytics software, careful consideration of hardware requirements is essential.
For many organizations, cameras constitute the primary hardware investment, with factors such as camera type, number of cameras and placement pivotal in deployment decisions, as they directly influence accuracy. Furthermore, aspects like video resolution, bitrate, and frame rate are taken into account to determine the necessary supporting hardware for seamless integration with your video analysis platforms by video analytics companies. Additionally, the evaluation of video processing requirements – based on real-time or on-demand processing needs – also serves good, as it guides additional hardware investments.
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Network Requirements
Adequate bandwidth is essential to ensure seamless and real-time data transmission. The number of cameras, particularly those with high resolution or frame rates, directly correlates with the required network bandwidth.
Organizations must verify that their network components, such as switches, routers, and cables, are optimized to accommodate these heightened bandwidth demands.
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Deployment Model
The architectural framework of a video analytics solution may vary according to organizational requirements. Some organizations may seek cross-site analytics for multiple locations, while others focus on analytics for a single site.
Deployments should be designed with scalability and future expansion in mind. Incorporating new sites or increasing the number of cameras may necessitate additional hardware, network capacity, and server resources. Common deployment models include on-camera edge solutions, cloud or server-based options, or hybrid models combining elements of both.
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Integrations, Support and Maintenance
Support and maintenance costs are generally offered through annual subscription models. Costs associated with user training, system deployment, including expenses related to third party systems integrators, should not be overlooked.
Additionally, the choice between deploying software in the cloud or on-premises entails different cost implications for an organization by video analytics companies. While an on-premises solution affords IT departments greater control over configurations and updates, the associated maintenance costs should not be underestimated. Alternatively, organizations opting for cloud-based solutions must factor in the expenses incurred for the services provided. The cloud-based solutions are generally expensive than on-premise solutions, and may not always be available with technology vendors.
