Introduction
The Project is aim to collect basic urban facilities data from the field.
The main information are identifing a data are below:
- Name (English),
- Name (Bangla),
- Geograpgic Location,
- Street level (Front Photo),
- Full Address,
- Contact Number,
- Category,
- Sub-category,
- Time table,
- Payment system,
- Cuisines types,
- Seating facility,
- Takeaway facility.
Name (English)
Every Point of interest (POI) have name, those information give that separation from others. Every machine can read english speling easily. In collecting time have to follow in english speling not english translation .
Example :

Here Rabbani Hotel & Restaurant or Rabbani Hotel and Restaurant is currect english speling not Rabbani Restaurant or Rabbani Restaurant & Restaurant .
Name (Bangla)
Bangla or বাংলা is local language.
Geograpgic Location
Geographic Location or Geolocation give a separate identity from other same name POIs.
Example :

Street level (Front Photo)
The street level front view photos also help to identify remotely.
Example :

Full Address
Full address is also important to. There are lot of style are following in locally . But we are maintain a system. That is below :
Example:
House 159, Level 4, Road 6, Block Ka, PC Culture Housing Society, Shyamoli, Dhaka 1207
Here
| Building Name |
Building Number |
Level/Unit Number |
Road Name & Road Number |
Block Name/Number |
Village/Area Name |
Thana/Upazila Name |
Post Code |
| |
House 159 |
Level 4 |
Road 6 |
Block Ka |
PC Culture Housing Society |
Shyamoli |
Dhaka 1207 |
Note: Every part will be seperate by “ , “.
Contact Number
Example:
- Tell Number:
- Mobile Number:
- Fax Number:
- Email Address:
- Website Address:
Category
All POI have a main category. Every categories also have sub category. The main Categories are below:
| Num |
Category |
| 01 |
Health Data |
| 02 |
Food Data |
| 03 |
Education Date |
| 04 |
Emergency Data |
| 05 |
Traffic Data |
| 06 |
Administration Data |
Time table
When or Which time table follows the POI. It has also a conventional system .
- 8 hours
- Daylight
- 24 hours
Payment system
Some POI have payment system . If a POI have personal Electric/Digital payment system that is important in this part.
Like : Bkash, Rocket, Nagad etc.
Cuisines types
It is only for Food categories .
Seating facility
It is mainly important in food categories.
Takeaway facility
It is important in food , pharmacy etc categories.
Health Data
All health related data are under health category . In nameing localy there are many system are following in health facility . Its make confution. Thats why we are trying to make a standurd category based on international naming system.
Health data sub-category.
| Heath Data |
Category |
| * |
Pharmacy |
| * |
Clinic |
| * |
Hospital |
| * |
Doctors Chamber |
Pharmacy
Example:

Pharmacy data have also sub-categories.
| Pharmacy |
Category |
| * |
Pharmacy |
| * |
Drug House |
| * |
Homeopathy |
Note: If a Doctor practice in a pharmacy . it also collect in this part.
Clinic
Clinic data have also sub-categories.
| Clinic |
Category |
| * |
Clinic |
| * |
Nursing home |
| * |
Birthing center |
| * |
Dialysis centers |
| * |
Health Centre |
| * |
Urgent care |
| * |
Laboratories |
| * |
Blood Banks |
Clinic

Laboratories

Hospital

Doctors Chamber

Doctors Chamber data have also sub-categories.
| Doctor |
Category |
| * |
Dentist |
| * |
Doctors |
| * |
Homeopathy Doctor |
Dentist

Homeopathy Doctor

Food Data
Food data have sub-category.
| Food Data |
Category |
| * |
Restaurant |
| * |
Cafe |
| * |
Fast Food |
Restaurant

Cafe
Cafe have also sub-category.
| Cafe |
Category |
| * |
Tea |
| * |
Coffee |
| * |
Drinks |
Tea

Coffee

Fast Food

Education Data
Education data have sub-category.
| Education Data |
Category |
| * |
School |
| * |
College |
| * |
University |
| * |
Kindergarten |
| * |
Coaching Center |
| * |
Training Center |
School

University

Coaching Center

Training Center

Emergency Data
Emergency data have sub-category.
| Emergency Data |
Category |
| * |
Police Station |
| * |
Fire Station |
| * |
Ambulance |
| * |
Water point |
Police Station

Water point

Water point

Traffic Data
We divide in 3 sub categories in Traffic Data.
| Traffic Data |
Category |
| * |
Traffic Signal |
| * |
Human Traffic |
| * |
Traffic Police Box |
Administration Data
We divide in 3 sub categories in Administration Data.
| Number |
Category |
| 1 |
Government |
| 2 |
NGO |
| 3 |
Commercial |
Government Office

Bank Data
Bank or Financial service also important part of urban life.
We divide in 2 sub categories in bank datas.
Bank

ATM
