Video Recording on Trucks

hello and thank you for your time Please, read carrefully before post a bid. Its a long project. We have a hardware composed by onboard cameras installed in a truck, the cameras record 24/7, usually each truck has 4 cameras, a MDVR, a SSD card, gps and a antenna. Images from the truck may be send trough 3g/4g or when the truck comes inside the garage the files are send from the truck to the server trough the antenna (radio frequency). The files with the recorded videos may go to the auditors to check any inconsistence on a driver mode, or any parameter stabilished by the company owner of the truck. Each company may have 100s to 1000s trucks. Auditor may speed the video up tp 56 times and may, for instance, request a copy (video clip) from the camera 3 of truck 12 from 08;00 to 9;00am of july 14th, or any given date of any truck. Based on those informations I need to monitor and have reports from informations combined to improve the fleet management Examples of reports (total of 15); 1 - Last time each truck came to the garage, last time the files were downloaded , from when to when the data were downloaded, 2 - Inconsistences based on parameters checked by the auditors 3 - Point Cameras not working inside each truck 4 - We already have a software working but I need I a new one. The total size of the file , from each truck. with 4 cameras working 24/7 is is not bigger than 1gb each day. The video records 5 frames per second with 320x240 resolution SOLUTIONS WITH SMALLER FILE (300-500mb a day) ITS OUR GOAL Summarizing what we need are two softwares 1 - A software buit-in the MDVR that may compress and send the videos (linux based) 2 - An admnistrative software that may recieve the files and auditor may work with the results. Specifications are much bigger. This is just an introduction. I need everything working and tested in 4 months. I need full commented and EXPLAINED source code Please, just send me proposals Teams with at least 5 workers, 20 rates and if you have experience with images compressing. We preffer teams that had previous and understanding about fleet management