By placing a Dash-Camera in front of the engines, we will be able to identify the condition and the working status of the Railway Signals. A report will be generated if the wrong signal is displayed or if the signals are off.
By processing the Dash-Camera video, we will also be able to identify if any lights are not working inside tunnels. With this data we will also be able to know the lighting conditions inside the tunnel and if more lights are required to be installed.
We will be able to monitor and track the condition of the Signboards present along the railway tracks. A report will be generated if any signboard is missing, broken or bent.
We will also be able to track the condition of any Linear Assets such as fencing, barriers, etc. If any part is damaged, missing or bent, a report will be generated.
The data from the Dash-Camera can be used to find out accident-prone regions along the tracks. There could be a region where a lot of animals crosses the track. Also, along the sides of villages, there could be people crossing the tracks often. This data could be used to undertake preventive measures in those regions.
We will be able to find out un-manned Road barricades. If any of the road barricades are open when the train crosses, a report will be generated with a picture of the open barricades.
We will be able to identify if anyone has breached the reserved areas around the railway tracks. For example, there could be temporary stalls setup near the tracks, Nomad tents, or even vegetation growing near the tracks.
We could keep track of the train speed. By pre-storing the max speed allowed in any area, we will be able to find out if the train over speeds and generate a report.
We will be able to identify regions where lighting conditions are minimum. This could be a crossing near a village, etc. We can use this data for a preventive action and could install caution lights for speeding trains in those regions.
We will be able to keep a track of the railway track condition. For example, any foreign objects present in the track will be identified and reported. Also, a report will be generated if the cement connectors between the tracks are damaged, bent or not aligned.
We will be able to monitor water leakages in the pipes along the railway tracks. We will also to able to identify water leakages from other sources in the Railway Station.
From Cameras placed in the railway stations, we will be able to report any stray animal present there. This data can be used for preventive action.
We will be able to find out of any person violates the station rules. For example, if people are not using the overbridges for crossing the tracks, if people try to enter restricted areas, if people try to enter the station from unauthorized entry points, etc.
We will be able to give a report of the number of people present in the railway station at any given point of time. This data can be used for detailed analysis.
We will be able to alert the officials if any un-attended bags are found in the railway station.
We can generate a report of Hawkers in the station. We will be able to know the time of their visits and movements.
We will be able identify the Opening & Closing time of the stalls. If the stalls are un-manned or opened late, a report will be generated with respective images.
We will be able to detect trash thrown in the railway station. The pattern of trash disposal can be identified. This data can be used to place Trash Cans on suitable areas.