We research. We collaborate. We make change happen. 

We research. We collaborate. We make change happen. 

Research and collaboration are at the heart of everything we do. By constantly exploring new technologies, testing their applications and keeping a finger on the pulse of the latest industry developments, we remain at the forefront of the digital transformation wave. 
 
This is combined with a highly collaborative approach that sees us working with commercial businesses, public sector organisations and the Defence industry to overcome challenges, remove pain points, set new objectives, and create a future where digital transformation means safer, happier lives. 

Zest Consult Case Studies 

Zest Consult Case Studies 

Case Study 1  

Case Study 1 

Digital Images and Visual Analytic Technology Project 
 
Since 2021 we have been working with Transport for London (TfL) to develop a Pan-TfL strategy for situation awareness which at its heart make use of CCTV technology and video analytics. Recognising that there are many “islands” across TfL and a lack of standards adoption plus a coherent strategy to the use of situation awareness technology, the DIVAT program was set-up to tackle this issue. 

Case Study 2  

Case Study 2  

Replacement of the Surface CCTV system 
 
Since November 2020 we have been working with TfL to procure a new CCTV system to replace their current legacy system for the surface assets, which includes CCTV on streets and tunnels and links into 3rd party organisations such as London Boroughs, the Police and Network Rail. 

Case Study 3 

Case Study 3 

Feasibility report for integrating legacy CCTV 
 
Since January 2022 we have worked with National Highways to develop a feasibility study to investigate various options for National Highways to procure and install roadside Open Network Video Interface Forum (ONVIF) converters for their legacy non-standard cameras. 

Case Study 4 

Case Study 4 

Developing a new approach to training artificial intelligence and machine learning for Machine Vision for CCTV 
 
We have recently successfully led and completed a research project funded by InnovateUK to develop a new technique for training machine learning models for the detection of objects and events in CCTV images. 
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